What you’ve not considered before: Learn python online

Posted on November 4, 2022December 5, 2023 by Imarticus Learning

What you’ve not considered before: Learn python online

The world is evolving every day and we are moving towards a tech-savvy world, where almost everything is digital. Even nowadays, numerous software and programming languages are used to conduct various tasks. Among them, one of the popular choices of programming language is python. This language is widely accepted and practiced to carry out important works like data analysis.

Data analytics and the python language share a relationship that is interesting to know. Below is some information that will expand your knowledge of python and its relation to data analytics.

What is Python?

To briefly explain, python is a programming language used for various purposes like web development, system scripting, software development, and even in mathematics. There are multiple applications of this programming language as well. Starting from rapid prototyping for software development to connect database systems, it is also used on servers to create web applications. Python can be used just as a scripting language or can be compiled to byte code for building gigantic applications.

One of its interesting uses lies in mathematics where the python language can handle big data and solve complex mathematical problems.

When it comes to applying python, the different platforms available are Windows, Linux, Mac, Pi, Raspberry, and many more.

With every passing day, the use and popularity of python are increasing and becoming a huge part of our future. Thus, it will be a good call to learn python online and gain the skill that is in demand.

Facts about Python

Here are some other facts that make python distinct from others and an easy language to learn and apply;

Python has a similar structure to that of the English language which makes it easier for an individual to learn it.
This structure also helps programmers to write programs in fewer lines compared to any other programming languages.
Interestingly, python runs on an interpreter system that allows the coder to run all his/her codes as soon as written. This signifies that prototyping can be really quick using python language.
We can easily integrate the python language with C, C++, CORBA, JAVA, and ActiveX.
To understand in simplest terms, a sizable collection of libraries in python is completely dedicated and appropriately used for valuable analytics and to solve complex calculations.

Why should you learn Python Online?

We already know about the popularity of python and its universal appeal. This is one reason to learn python online from the best platform to gain good command over a language that applies from data science to app development.

Even if you compare python with any other programming language, it is one of the most versatile, making it the popular choice of people.

Among the various reasons behind learning python, one evident reason is its simpler approach. Comparatively, it has a simpler syntax and high-readability factor, making it beginner friendly. Another quality of this language is its flexibility across other programming languages. For example, you can integrate it with JAVA and .Net, and perform cross-language operations as well.

There is no other language that can compete with python when it comes to the numerous useful libraries. The python language comes with an assortment of libraries like NumPy, Matplotlib, StatsModels, Pandas, and many more. Because of the availability of this vast collection of libraries, python has more uses and its functions have multiplied significantly over the years.

Adding to the extensive list of qualities of python, its application in the field of data science is commendable. There is a huge role of the python language in data analytics as it is easy to learn and understand.

Python and Data Analytics

Till now, we know little about the application of python in complex mathematics. This function of python language enables it to be a useful resource in data analytics. All the above-mentioned qualities of python make it the best choice for data analytics. Apart from those features, it is also well-known for its graphics and visualisation. As it is quite easy to comprehend visual information, python becomes the preferred language because of its plethora of different visualisation options.

Besides this, there are multiple built-in analytics tools in python to process complex data. These tools can penetrate patterns, provide insightful information, as well as correlate those in extensive sets.

To summarize this relationship, we can say that the language’s ability to analyse huge data sets in no time and carry out repetitive tasks makes it the right choice for data analytics. Thus, it is worth it to learn from a data analytics course with placement that can provide you with knowledge and experience, all at the same time.

Conclusion

It is widely known that data analytics is a huge field of operation that deals with complex data to derive valuable information from it. And to work out these enormous tasks, python is internationally recognized. It assists in managing data with its versatile nature, and multi-features.

So, to be an asset for a company in the future, it is an excellent choice to learn data analytics which includes python as well. When you learn data analytics, you will understand how valuable it is in this field.

Lastly, to learn data analytics it is advisable to opt for a postgraduate program in data analytics & machine learning to gain the appropriate knowledge of analysis combined with the skills of python.

Can you learn analytics and supply chain management together?

Posted on November 3, 2022November 7, 2022 by Imarticus Learning

Can you learn analytics and supply chain management together?

Customer demand is fulfilled by a series of interlinked and interdependent processes, which is cumulatively known as the supply chain. These activities are associated with the flow of information, fund and product or services, as the case may be. The stakeholders who are instrumental in the path of the supply chain are vendors, manufacturers, distributors, retailers and customers. The sole process of supply chain management aims towards customer satisfaction and retention, besides maximising the bottom line of all the stakeholders of the chain. Various Supply Chain Management Online Training Programs are also available in various institutes.

Subjects to be learnt

There are several premier institutes in India that teach the subject of supply chain management as a PG course. However, a prospective candidate may also complete a Supply Chain Management Certification course after graduation to pursue a professional career. The basic subjects to be learnt in order to handle these activities are marketing management, finance, organisational behaviour, economics, mathematics, statistics, brand promotion, corporate communication, etc. whereas the elective subjects may include warehousing management, logistics, international trade, export import business activities, etc. Technically there is no bar to which type of graduates may attempt their career in the PG courses in Supply Chain Management courses. However, it may be noted that a commerce background will certainly be advantageous.

Overview of Data Analytics

Today the usage of the internet has increased multifold times. With the easy accessibility of smartphones across the country, India alone has an active internet user base of 70 crores. Online social platforms like Facebook, communicators like Messenger, Instagram, Twitter and WhatsApp or professional platforms like LinkedIn generate huge databases on a daily basis. These data capture user behaviour and areas of interest. Similarly, a large amount of data can be also retrieved from client organisations, too. These are the fields that are captured to understand the needs of customers. Similarly, organisations also have records of their own data for predictive or prescriptive analysis in the future. Thus the work of data analytics starts with the process of identifying and then follows the sequence of collecting, cleaning, analysing, interpreting and visualising data. The sole purpose of data analytics is to make a meaningful prediction for a Business House in different functional fields to achieve and surpass the targeted bottom line of the organisation. To achieve this goal, an analysis of risks in business and operations is performed with due diligence.

Topics to be learnt

There are a good number of reputed institutes that teach the subject as a PG course. However, a prospective candidate may also learn the subject as a certificate course for three or six months. Data analytics online courses are also available in India. Like the supply chain management course, there is no bar for students of any field. However, it may be noted that mathematics and statistics are the first subjects, which a candidate will be expected to know.

In order to pursue a career as a data analyst (at the beginning stage) or a data scientist / consultant (at a mature or experienced stage), the institutes teach the following topics/skill sets –

Advanced Excel Topics (such as Functions, VLOOKUP, Macros & VBA, Charts and Pivot Table)
SQL or Structured Query Language (Aggregate Function, Joins, Views, Query Optimisations, Triggers and Transactions)
Programming Language – 1) Python, 2) R and 3) SAS or Statistical Analytical System
Artificial Intelligence
Machine Learning
Visualisation Tools – 1) Tableau and 2) Power BI
Soft Skills like communication, time management, problem-solving and analytics skills

A common pertinent question that hovers around the minds of prospective candidates is whether they can learn Analytics and Supply Chain Management together. The simple answer in one word is “yes”. However, one needs to be focused on his / her professional field. If the candidate is interested in working in the Supply Chain Management domain of an organisation, learning Data Analytics will certainly be an added advantage for him/her in understanding the solutions provided by predictive or prescriptive analysis. On the other hand, if a candidate is focused on becoming a Data Scientist, then he/she must concentrate on the core subject first. Nevertheless, he/she may also study supply chain management to understand the functional elements in a better way to equip him/her with more practical/real-time field-based knowledge.

Conclusion

In this context, it may be noted that both the courses are available offline, as a PG course and also online, as a certificate course. Depending on the individual focus, the candidate may choose a combination of online and offline courses for the two courses simultaneously or even may opt for online certification courses for both topics, depending on priorities. The IIT Supply Chain Management Course at Imarticus which provides live online training will help you to reach your goal. Both fields have excellent career growth potentials, particularly for candidates having innovation in thoughts, analytic skills and excellence in communication. There is no second thought that candidates with a combined knowledge of both subjects shall definitely excel in their career growth and would be rated as the most valuable employees by their organisations.

The anatomy of a data analytics course with placement

Posted on November 3, 2022March 26, 2024 by Imarticus Learning

Data Analytics deals with the analysis of raw data for coming to conclusions about data that an organisation has acquired or for identifying various trends and patterns. A data analytics course with placement will help you to learn and understand the anatomy of Data Analytics and how it can benefit your career so that you can get good placements. The Data Analytics techniques and methods work on certain algorithms that deal with raw data with Artificial Intelligence. The involvement of machine learning is also of prime importance.

Read along to get a brief idea of why you should take the Data Analyst certification course and how it can benefit you to boost your career.

What is Data Analytics?

Data Analytics is the process of collective transformation and organisation of raw data so that a data analyst can conclude out of it to get the desired results. It also helps the organisation to have a better decision-making process and make predictions for future operations. In today’s time, a career in data science is a flourishing one and if you want to become a data scientist or data analyst, then you need to understand what are the benefits of learning Data Analytics.

A Data Analytics course with placement can help you gain the following advantages:

Data Analytics helps to deliver business needs in a proactive and anticipating manner.
Data analysts help to mitigate the risk factor in an organisation.
As the data is properly understood and analysed, the results that are derived from it are always more accurate.
All the financial, physical and intellectual assets of the company with the help of good security measures.
Data analysts help an organisation make good investments and have productive results.
With the help of data analysis, a company is more responsive and personalised in its services.
Data Analytics improves and optimises the customer experience so that companions do not lose any customers.

Anatomy of Data Analytics

The factual information that you collect from multiple sources in the form of a physical or digital format is known as data. The anatomy of Data Analytics can be understood when you know about the division and classification of data. Data can be classified as follows:

Qualitative data

The non-numeric data which is all about properties and characteristics is known as qualitative data. It is generally collected by labelling, observing, listening or watching an object. Project management uses a lot of qualitative data. Qualitative data can be generated as follows:

By conducting interviews.
By translation of symbols.
By image processing.
By making observational notes.
By listening to multiple audios.
By watching video recordings.
By looking at documents and notes.

Quantitative data

The numeric data that is statistical, conclusive, countable and measurable in nature is called qualitative data. it provides a clear picture of the aspects of numerics. Quantitative data can be in the following forms:

Metrics
Market research
Tests and experiments
Surveys

Structured data

Structured data is the type of data that is present in an organised and standardised format that is easily readable and searchable. Structured data is much easier to work with and this type of data is more concise and accurate. Some examples of structured data are as follows:

Dates and names
Data related to product user
ERP system data
Bank account numbers and statements
Identification numbers

Unstructured data

Unstructured data is not available in an organised and standardised format. It cannot be easily searchable or readable and it is difficult to understand. This type of data is generally present in long formats. Some examples of unstructured data are as follows:

SMS
Emails
Audio and video files
Social media posts
Text exchange on social media

Responsibilities of a Data Analyst

to understand the anatomy and working model of Data Analytics and to have a career in data science, you must know what are the rules and responsibilities that a data analyst has to perform. A data analyst certification course may help you learn these. the roles and responsibilities of a data analyst are enumerated as follows:

Ascertain organisational objectives by working closely with the data scientists and IT management teams.
Use standardised statistical tools and techniques to analyse the result.
Extract data from multiple sources, mainly primary and secondary ones.
Constantly thrive for process improvement and identify different means to do it.
Identify designs, patterns, trends and correlations in different data sets.
Create and design RDBMS and data systems.
prepare data reports and visual representations so that they can be presented to higher management.
Solve data-related issues and code problems.

Conclusion

To become a Data Analyst, enrol yourself on a Data Analytics course with placement so that you can kickstart your career in the said field. Learn the Data Analytics course by Imarticus so that you will be able to make data-driven decisions. Proficiency in Data Analytics will help you to reach milestones in your career.

Artificial intelligence and machine learning: Top courses, skills, salaries and careers

Posted on November 2, 2022April 2, 2024 by Imarticus Learning

In 2022, the scope of Artificial intelligence (AI) and machine learning will continue to grow as more businesses adopt these technologies.

AI/ML is already used in many industries, such as healthcare, finance, manufacturing, and retail. As these technologies become more advanced, they will likely be used in more industries.

For example, AI could help plan city infrastructure or optimize traffic patterns. The demand for AI/ML skills will continue to grow in 2022. As businesses adopt these technologies, they will need employees who know how to use them. There are many ways to learn AI and machine learning, such as taking online courses or attending conferences.

The salaries for AI/ML jobs will continue to rise in 2022. With the demand for these skills increasing, employers will be willing to pay more for employees who have them. In addition, as AI and machine learning technologies become more commonplace, workers with these skills will be in high demand globally.

Significance of AIML courses in today’s era

In today’s era, Artificial intelligence (AI) and machine learning are two of the hottest topics in the tech industry. There is a lot of hype around AI and machine learning and for a good reason. These technologies have the potential to revolutionize many industries and change the way we live.

AI and machine learning are already being used in several ways, such as improving search results on Google, identifying plagiarism, and helping doctors diagnose diseases. As these technologies continue to develop, they will become even more integrated into our lives.

That’s why it’s essential to learn machine learning now. If you want to stay ahead of the curve and be prepared for the future, then you need to understand these technologies. Luckily, several excellent courses can teach you everything you need to know about AI and machine learning.

Some skills you learn during an AI, or machine learning course include:

Statistical methods: You will learn about different statistical methods used for data analysis. This is important for understanding how machine learning algorithms work.
Programming: Most courses will teach you how to code in one or more programming languages. This is necessary for implementing machine learning algorithms.
Linear algebra: This branch of mathematics is essential for understanding how matrix operations work in machine learning.
Calculus: Differential equations are used extensively in machine learning!

Career scope after Artificial intelligence course?

Numerous career opportunities are available for those who complete a course in artificial intelligence (AI) and machine learning. With the right skillset, you could pursue a role as a data scientist, software engineer, research scientist, or business intelligence analyst, to name just a few potential positions.

Data scientists are in high demand across almost all industries, as they play a vital role in extracting insights from large data sets. AI and machine learning are essential tools for data scientists, so if you have these skillsets, you will be well-placed to pursue this career path.

Software engineering, research scientists and business intelligence are other popular career choices for those with AI and machine learning skills. These roles suit those with strong analytical & mathematical skills.

Learn and Grow with Imarticus Learning:

Imarticus Learning offers a PG program in Data Analytics & Machine Learning, an assured placement postgraduate program built for future data science experts. Students learn real-world applications of data science & build predictive models.

Why this Course:

Artificial Intelligence Training: Grasp foundations of AIML and learn the data science tools and be job-ready.

Placement: The course comes with an excellent job assurance.

Best learning input: Live instructor-led sessions to provide the best student outcomes.

Practical Approach: Master skills through real-world projects, hackathons, capstone projects and mock interviews.

Contact the Live Chat Support system or visit our Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad training centres.

Learning data science and machine learning from IIT Roorkee is an experience

Posted on November 1, 2022April 8, 2024 by Imarticus Learning

Learning data science and machine learning from IIT Roorkee is an experience

Data science and machine learning are two important tools used in a steadily growing global IT industry. Their usage lies in how one uses data to innovate, improve and even create new products, services and other infrastructural practices to ease work in various industries.

At a time when data management is key can be the perfect time to venture into a career in data science. With high demand and comparatively less supply of labour in the coming years, the data science field yields high salaries and diverse growth opportunities. Read on to learn data science and machine learning and how they can improve and expand career growth.

What is Data Science?

Data science is a field used to extract unstructured data and make it of use, using a series of programming languages, algorithms and analyses. This meaningful data is then used to improve and innovate any product or service/s that maximises business profits and builds better than their previous services.

Skills needed

Pursuing a career in data science includes a few prerequisites. If you are interested, here are some of the skills needed in data science and machine learning careers that provide an edge in the competition:

In-depth knowledge of programming languages like Python, Java and C++
Fluency in mathematics, statistics and data interpretation skills
Comfort in working with a huge amount of unstructured data
Skills in converting structured data into audiovisual representations
Knowledge of machine learning models and algorithms used
Communication skills to present the data findings to stakeholders

Career paths

Here are some of the best career paths you can pursue after a certification course in data science:

Data scientist

Their job is to organise unstructured data and present the findings to stakeholders. The data should simultaneously improve and encourage positive benefits in the organisation.

Data analyst

Data analysts are focused on the cleaning and sorting of data and proceed to analyses.

Data engineer

The job of a data engineer is to build usable systems and models through which data scientists and analysts can receive proper data information rather than unorganised raw data.

Role of Machine Learning in Data Science

Machine learning is a data-driven field in the broader field of data science. Machine learning uses previous user data and uses certain algorithms to interpret the data. This is used to improve products/services in an organisation. ML models are often trained and their improvement is used to feed into the machines without manual intervention.

How is Machine Learning useful to a data scientist?

Machine learning in data science fields is the newest and least time-consuming way to structure and organise company data into positive usage. The amount of data is steadily growing and the need of the hour is quick analysis. Manual or conventional systems are running out of fashion and benefits, which is where machine learning always comes in handy with its constantly updating technologies. Perfect-quality and accurate results are a win in today’s competitive IT industry, hence knowing the applications of ML is necessary for a data scientist and their progress.

Adding a degree to skill: Career in Data Science

To smoothen your career in data science, have a look at the certification course in Data Science and Machine Learning, created with iHub DivyaSampark, IIT Roorkee, by Imarticus. The course is designed to teach candidates the basics of data science and machine learning coupled with their applications in the industry. Taught by acclaimed IIT faculty, inclusive of capstone projects, career guidance and campus immersion scopes, the 5-month long course will provide an aspirant insight into the diverse job prospects in the data science industry. Book your seats now to learn more.

If your focus is set on a career in data science, this course is the right fit for you. As nearly all organisations, global and local, shift to financial technology and internet-based services, data management becomes the need of the day. Hence, data science careers are set to flourish, and you can be a part of this growth.

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How to make the most of your supply chain and analytics certification

Posted on November 1, 2022April 8, 2024 by Imarticus Learning

How to make the most of your supply chain and analytics certification

There are mainly three types of analytic approaches to Supply Chain Management, namely, Descriptive Analytics, Predictive Analytics and Prescriptive Analytics. Descriptive Analytics gives us an insight into what has happened earlier in the same or similar business houses for Supply Chain Management. The process is basically acquiring, summarising and rationalising large datasets to project new business insights.

The process of predicting the future with the usage of historical data gathered and then using different statistical tools or computer-based complex algorithms is known as Predictive Analysis. Nowadays Supply Chain Management Certification Course teaches Analytic Tools to prospective candidates. This is to forecast what will happen in the future. And the third mode of Analysis is Prescriptive Analysis.

This Analytics deals with real-time operation research tools to find out the correct decisions that shall lead to the best results in Supply Chain Management. This can be performed by several optimisation techniques. Predictive Analysis is the future trend of Descriptive Analysis, if there is no course correction. When the corrective measures are taken based on operation-based research and model simulation through computer-aided algorithms, the percentage of error in the Supply Chain Management process is reduced and thus the process is called Prescriptive Analysis, which ultimately leads to a 6-Sigma process i.e. a process with minimum error tolerance.

Predictive Modelling in forecasting Supply Chain Elements

Predictive Analytics examines all possible scenarios encompassing demand planning, cost, profit, inventory optimisation, logistics and much more. Predictive Modelling allows companies to gauge anomalies in their Supply Chain network and responds accurately given past conditions.

Predictive Modelling generally leads to two types of forecasting errors – overstocking and understocking. While overstocking creates havoc in the inventory and cash flow for all the stakeholders in the supply chain, understocking tends to make customers unhappy, making them turn towards competition.

Since any business would like to avoid the understocking situation, keeping more stock is better. However, overstocking leads to the Bullwhip effect. Excess inventory increases from retailers to wholesalers to manufacturers to vendors.

Thus in order to make Predictive Modelling more reliable, additional data other than the historical ones are required. Though used in the recent past, Predictive Analysis has proved to be of immense support to the planning team in a manufacturing set-up.

Why do Organisations use Predictive Analytics nowadays?

Most of the business houses operating in Supply Chain Management are using Predictive Analytics in the recent past to increase their profitability percentage and volume. The key reasons are the following –

The growth of the Information Technology industry has given way to the growth of more and more accurate data.
The enthusiasm to use the data for business insight has also developed multi-fold.
Availability of computers.
Availability of interactive and easy to use & understand software.
Tougher Global Economic situation.
Fierce competition and hence the requirement to create uniqueness.

Thus under this present scenario, the Predictive Analytics tool cannot have the luxury of being used by Statisticians and/or Mathematicians. Over the course of time, it has become the default tool for a Business Leader who seeks excellence in operation and also wishes to maximise the bottom line.

Important features of Predictive Analytics

The most important features for which organisations use Predictive Analytics Modelling are Detecting Fraud, Reducing Risk, Improve Operations and Optimising Market Campaigns. The model uses the feature of detecting the location of the error in the respective function; so that it may be course-corrected.

Detecting Fraud – The tool can help organisations in the detection and prevention of criminal behaviours of imposters posing as associated partners or even competitors. These are cyber crimes, which create havoc in the secured database of an organisation.

Reduction of risk – Creditworthiness (credit score, etc.) of a customer or credential (past performance records) of a prospective vendor may be worked out using these tools and hence supports de-risking of business.

Improve Operations – Organisations take the help of this modelling system in cases of asset optimisation and management of inventory and resources. In the hospitality business, capacity utilisation can be predicted for a particular time of the year. Thus hotels can plan their inventory and resources accordingly. Airlines also hike or reduce fares using historical data for a specific time of the year and can make similar arrangements for their assets, as well.

Optimising Market Campaigns – Purchasing habits including quantum and frequency may be recorded by the history data. Thus these records may be used by the organisation to make more efforts for promising customers and lesser for those expected to conclude in cold calls quite often.

Career as Supply Chain Analyst

Prospective candidates should complete an offline PG course or a Supply Chain Management Online Training prior to enrolling themselves in the Supply Chain Management Certification Course. The IIT Supply Chain Management Course at Imarticus which provides live online training will help you to become an expert in this field. The knowledge of Supply Chain Management will help the candidates understand the functional aspects of the core subject while the certification course will help them evolve as Data Scientists or Consultants in Supply Chain Management, depending on the enthusiasm, dedication and exposure of the candidates. There is no second thought that it would be a great and rewarding career.

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Stop looking for data analytics courses with placement: Read this instead

Posted on November 1, 2022March 17, 2023 by Imarticus Learning

Stop looking for data analytics courses with placement: Read this instead

Data analysis determines the most profitable insights from a set of data that push a company’s business growth. A data analyst uses beneficial data to solve immediate problems and simultaneously increase profits.

Data analytics careers have become crucial in the competitive global IT industry. Over eighteen thousand job openings remain in the Indian BFSI sector in 2022, with the number to only increase in the coming years. This is the right time to learn data analytics as a career option. Read on to know more about data analysis, the available courses and what they entail in addition to data analytics online training.

What is Data Analytics?

All organisations receive unsorted, raw data that need classification. Data analysis involves collecting raw data and processing it into meaningful reports for the company to benefit from. It deals with analysing the data that influence economically viable business results. To learn data analytics is to classify the needed data from the bad and pass on suggestive reports to the company stakeholders to implement the findings.

The process of Data Analysis

Post an individual can learn data analysis, their career as a data analyst should follow the five steps of work for the process to function correctly. Here are the following steps:

Identify the data crisis/question at hand

The analyst needs to identify the data problem of the company. Their goal should be to pinpoint a tentative conclusion by solving the question.

Collect the data

In accordance, the data analyst should collect a significant amount of data. They usually collect primary or secondary data from the company’s CRM software, email tools, or open-access sources.

Clean the data

Omitting unnecessary data is one of the longest and most crucial stages in data analysis. The massive data collected could be distorted, repeated, wrong or useless to the project.

Analyse the data

The data finally needs to be analysed by comparing past trends, using the specified analysis methods and questions etc. It needs to be sorted and made useful for company benefits.

Process the data into reports

Finally, the data analyst turns numbers into verbal/audiovisual remarks to the company stakeholders. The information is to be processed into a mode understandable by everyone and influences the company’s business decisions. This step also exposes the upcoming or ongoing data trends in the company.

Data Analytics courses: an overview

Here is a broad overview of some of the best data analytics certification courses and what they hold for you:

Eligibility

Other than PG specialisation degrees, there are data analytics online training courses that one can pursue. The usual eligibility criteria to pursue a data analytics course is a bachelor’s degree, preferably in computer science/statistics/engineering fields with a minimum 50% aggregate or the equivalent passing marks.

Skills

Data analysts require fantastic statistical abilities. Working with numbers and unsorted data takes up the entire time of data analysts. In addition, knowledge of different machine learning models and programming languages such as Python or Oracle is important. Lastly, they need to have a critical mindset. While analysing data, they should have command over good communication skills that helps them interact with the business stakeholders.

Job opportunities

Data analytics jobs are on the rise in the market. Almost all organisations require data science careers to support them. Various roles like statisticians, business analysts, data analysts, and even data engineers are available in the data science industry. The average salary for a beginner-level data professional is INR 11 LPA with the number only increasing.

Learn Data Analytics: courses in India

While on the search, choose the best data analytics certification course, the PG program in Data Analytics and Machine Learning by Imarticus. The course focuses on applying data science and ML models in the job market and using them in real-world business results. The PG course is an ideal bridge between graduation and deciding your career opportunities while enhancing your degree. Inclusive of capstone projects, real-life case studies and assured placement in data science, this course is a fit for data analysis online training. Book your seats now to know more.

Now, when data plays a crucial role in any globally competitive industry, data science jobs are on the rise. It includes a diverse range of career options and is a dynamic field with scopes to only increase. Data analytics online training hence is a good decision while you prepare for better career choices.

Finding The Data Analytics Course To Fit Your Needs

Posted on October 23, 2022December 1, 2023 by Imarticus Learning

What is Data Analytics?

Data analytics includes extracting valuable information from data. It refers to the examination of data to find patterns and trends. You can put data analytics to use in multiple areas.

It can predict future trends, optimise business processes or even help decision-making. Using the online course on data analytics, you can tell tales of your journey from joining the best data analytics course to placement.

Data analytics is a powerful tool utilised in almost every field, from healthcare to marketing. It is mainly used in the business world. Businesses use data analytics to understand their customers better, improve their products or services and make smarter decisions.

What are the Best Data Analytics Courses in the Market?

Data analytics is a field that is growing at an exponential rate. It is only imperative to keep up with the latest developments and trends. The best data analytics courses are updated regularly and focus on practical skills. They should also be taught by industry experts who have experience in the field.

Many data analytics courses are available online, but most are not worth the money or time. The best data analytics courses will teach you how to use the latest tools and techniques for analysing data and apply these skills in real-world scenarios.

Professional industry experts teach the best data analytics courses in the market with years of experience. These courses are designed for online learners wanting to learn from the comfort of their homes at their own pace. Learn data analytics from your remote location through a course covering every area dynamically.

Data analytics is a skill that can be learned by almost anyone willing to take it up. Some of the people who can learn data analytics are:

Business Professional

A business person can use data analytics for marketing and customer insights.

Marketing Professionals

As someone with a marketing niche, you can use data analytics for customer analytics, product analytics, social media analytics, etc.

IT Professionals

As an IT professional, you can use data analytics to monitor and identify trends.

How to Choose Which Data Analytics Course Fits Your Needs

Data analytics is a field that is multiplying. It is a crucial part of the modern business process as it helps companies to make better decisions and improve their performance. Hence, you must choose the right course for your needs. There are many courses available online, but not all of them offer equal benefits.

The best way to find the right path for you is to research and compare different courses. Ensure to check the reviews, ratings and feedback from students who have already taken the course before you decide on your choice. The first step is deciding on the type of data analytics course you need. Many types of data analytics courses are available on the market, each focusing on a different area and providing different skill sets.

If you wish to learn the specifics of data analysis software, you should take an online course to use that particular software. If you want to know how to create your models and predictive analytics, then a more general approach would be more appropriate for your needs.

This model offers a more extensive model for determining why one should take up a data analytics course:

It helps you extract meaningful insights from data, which you can use to make decisions that can positively impact an organisation.

You learn various techniques and tools required to work with data sets, including statistical analysis and predictive modelling.

You learn to use various programming languages, such as Python and R.

Start Learning Today With the Best Data Analytics Course for Your Needs

We reside in an age where data is ever-growing. And with that, the demand for data analytics professionals will also increase. Besides, many people are looking to start learning data analytics today. And if you are one of them, then you should know that there are many different courses for your needs. However, if you are looking for a course handpicked explicitly for your needs, then you can go for the data analytics online training. With the growing demand for professionals, there is no better time than now to invest in your future as a data analyst.

Here are some strategies to use social media in supply chain management

Posted on October 21, 2022March 26, 2024 by Imarticus Learning

Here are some strategies for using social media in supply chain management

Social media is no longer just a fad. It’s here to stay and to help you connect with your customers and build relationships with them. In this post, we’ll discuss how you can use social media in supply chain management—and why it should be a part of your daily routine.

Use analytics to integrate social media into supply chain management.

Social media is a vital part of the supply chain management workflow. You can use analytics to help you determine what is working and what is not to keep improving your social media strategy.

Find out which of your customers are interested in trending topics, brands, and products.
Use analytics tools to see how much time people spend looking at each post on Facebook or Twitter (and, therefore, how many views they get).

Use social media to gather information about the market and your customers.

Social media can gather information about the market and your customers. You can find out what they want, what they think about your brand, and how they feel about your competitors. Social media is also useful for finding out what people are saying in general about the industry as a whole.

Build a community around your brand.

You can use Social media to build a community around your brand by posting engaging content on social media platforms. This helps build awareness of your company and engage potential clients or customers who may not know about it yet.

Avoid focusing too heavily on one platform.

One of the essential aspects of social media is how many people you reach and how much time they spend on your site. If a person visits your site and doesn’t see any content related to their interests, they will leave. Using multiple platforms is essential so that if one doesn’t work out, another will!

Listen and respond to feedback, but remember that you can’t please everyone.

You can’t please everyone, but you can listen to their concerns and address them as best. Remember that it’s your job to provide a good customer experience, so make sure your responses are polite and professional.

Supply chain management professionals should know how to harness this power for their benefit—by using social media effectively in all aspects of their work. Social media is an essential tool for every professional in every field today.

Explore a Career in Supply Chain Management with Imarticus Learning

The best supply chain certification course will help managers make strategic, operational, and tactical decisions. Prepare to contribute to the development of more tactical and inventive global supply chains in the future by combining traditional supply chain online courses with data-driven decision-making.

Course Benefits For Learners:

Students are exposed to essential technologies, including six real-world projects, to thoroughly understand the industry and prepare them for a successful career.
Completing the IIT supply chain analyst course allows students to prepare for highly sought-after jobs such as demand planners or data scientists!
Python will teach students how to be data-centric and improve supply chain decision-making.

Contact us through chat support, or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Do we need to care about learning Hadoop online? Here’s what we know

Posted on October 21, 2022October 25, 2022 by Imarticus Learning

Do we need to care about learning Hadoop online? Here’s what we know

Hadoop is a distributed storage platform designed for big data. It also allows you to store large amounts of data and analyze it quickly.

Hadoop is a framework for storing and processing large datasets. It’s also an open-source software project written in Java and designed to scale up from single servers to thousands of machines.

Doug Cutting and Mike Cafarella created it. It was initially created to support distribution for the project to build a search engine called Nutch. Doug is currently the Chief Architect of Cloudera and was working at Yahoo! at the time.

How to become a data analyst?

To become a data analyst, you need to know the basics of programming and statistics. You must also understand how data types, such as text files or images, are processed.

The best means to learn these skills is through online courses that teach you software like R and Python and math concepts such as linear algebra and calculus.

Analyzing Big Data with Hadoop

Hadoop store, manage and analyze unstructured data like text files, emails, videos, or images.

You can use Hadoop as part of your big data pipeline in two ways:

As a standalone tool that you use to retrieve or process your unstructured data (e.g., how long did it take me to download my film?)
As one of many tools in a Hadoop cluster (e.g., I want my team members on different computers)

What to keep in mind when learning Hadoop online?

Choose the right course. You don’t necessarily want to sign up for a class that will teach you how to use Hadoop because many other open-source projects do that too. You need a course that focuses on what it means for your business and how these technologies can help you meet those goals.
Choose the right platform. The first step in learning anything is finding out where else you can learn from others who have already gone through this process. Once again, make sure whatever platform or tools you choose have great support communities so if something goes wrong during your trial run phase, then there will be someone who knows about it already!
Choose wisely! Everyone has different goals when starting out, so try not to worry about getting things perfect since perfection isn’t even achievable.

Learn data analytics with Imarticus Learning

With the help of this data science course, you could land a career in hadoop. Utilize what you’ve learned by using data science to create intricate models that produce essential business forecasts and insights.

Course Benefits for Students:

Students will be familiar with the most popular data science methodologies and tools, data analytics, and machine learning basics.
Students who complete 25 real-world projects and case studies under the supervision of business partners will receive a data analytics certification course.
The ability to display data using a data analytics tool is one of the most sought-after skills on the market.

Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch via the chat support system.