Python for Data Science: 5 concepts you should remember

Posted on December 29, 2021December 5, 2023 by Imarticus Learning

Python for Data Science: 5 Concepts You Should Remember

The cheat sheet is a helpful complement to your learning since it provides the fundamentals, which are organized into five sections, that any novice needs to know to get started on data analytics courses online with Python. When learning data science, you should also have python training. Here are the main concepts.

5 concepts in Python for Data Science

Variables and data types: Before you begin learning Python, you must first understand variables and data types. That should come as no surprise, given that they form the foundation of all programming languages.

Variables are used by the computer program to name and store a value for subsequent usages, such as reference or modification. You assign a value to a variable to save it. This is known as variable assignment, and it entails setting or resetting the value stored in one or more places identified by a variable name.

- String instruments: Strings are a fundamental building component of computer languages in general, and Python is no exception. When it comes to dealing with strings, you’ll need to understand a few string operations and procedures.

Lists: Lists, on the other hand, will appear to be more useful right away. Lists are used to keep track of an ordered collection of elements that may or may not be of distinct sorts. Commas divide the elements into a list, which is encased in square brackets.

Tuple: A tuple is an ordered collection of immutable objects. Tuples are lists of sequences. Tuples and lists vary in that tuples cannot be altered, although lists may, and tuples use parentheses while lists use square brackets.

Dictionaries and Libraries: Python dictionaries allow you to link together disparate pieces of data. In a dictionary, each item of data is kept as a key-value pair. Python returns the value associated with a key when you specify one. All key-value pairs, all keys, and all values may be traversed. When you’ve mastered the fundamentals of Python, though, it’s time to move on to the Python data science libraries. You should look at pandas, NumPy, scikit-learn, and matplotlib, which are the most popular.

Installing Python

If you haven’t already, you should install Python now that you’ve covered some of the fundamentals. Consider installing Anaconda or another Python distribution. It is the most popular open data science platform, and it is based on Python. The most significant benefit of installing Anaconda is that you have immediate access to over 720 packages that can be installed via conda.

However, a dependency and environment manager, as well as Spyder’s integrated development environment, are included (IDE). As if these tools weren’t enough, you also receive the Jupyter Notebook, an interactive data science environment that lets you utilize your favorite data science tools while easily sharing your code and analyses. In a nutshell, everything you’ll need to get started with Python data science!

After you’ve imported the libraries you’ll need for data science, you’ll probably need to import the NumPy array, which is the most significant data structure for scientific computing in Python.

Conclusion

Here at Imarticus, we offer python training and tools to learn data science via our data analytics courses online. Come visit us today and start your career in data science online.

Related Articles:

Python Coding Tips For Beginners

Python For Beginners – What Is Python And Why Is It Used?

Why is Python of Paramount Importance in Data Analytics?

Python Developer Salary In Terms Of Job Roles

How does Data Analytics help to Detect, Assess and Prevent Fraud in 2021?

Posted on September 7, 2021March 21, 2024 by Imarticus Learning

Fraud is a major problem in today’s digital world. Whether it is data analytics or data sciences, data analytics has become an integral component of fraud prevention. Data analytics is the process of data manipulation to identify patterns and predict trends based on data sets. The data can be in various formats like text, audio, video, images, or even data generated by sensors.

In simple words, data analytics is a data-driven approach to help you make better decisions. It helps organizations detect, assess, and prevent fraud in 2021. Data analytics courses are the latest trend among MBA students because data is so important to every aspect of life today.

This blog post will discuss how data analytics can help us detect, assess, and prevent fraud in 2021!

How does Data analytics help to detect, assess and prevent fraud in 2021?

In today’s data-driven world, data analytics has become an integral part of financial services. While data is not new to the industry, collecting and processing it at scale did pose a number of challenges in past years. However, with advancements in technology and data storage capabilities, data analytics as a tool for fraud detection has gained prominence within banks, especially after the 2008 economic meltdown.

Nowadays, organizations are generating large amounts of structured/unstructured data from various sources like customer service calls, social media platforms, etc., which can be analyzed using tools like machine learning, artificial intelligence (AI), predictive modeling, or deep learning algorithms, among others to predict potential threats on their business operations including risk management strategy thereby reducing operational costs & improving profitability by increasing revenue streams through better data-driven decisions.

However, data analytics is not just about data storage and analysis of unstructured data to identify anomalies within the data sets; it also focuses on methods that can be used by organizations to prevent frauds in real-time – a key area where financial institutions are looking at for growth opportunities as demand from millennial customers increases for mobile banking and increased online transactions via e-commerce portals among other channels.

In order to support their digital transformation journey & build a robust risk management strategy, banks and other institutions have started investing heavily into analytics capabilities by hiring data scientists and data analysts to leverage the power of data for fraud detection in real-time.

According to a recent report by MarketsandMarkets, the global data analytics market was valued at $16.06 billion in 2016 is expected to reach $73.47 billion by 2021, growing at a CAGR of 28% during the forecast period from 2017-2021.

Some key areas where data analytics is being used extensively include:

Customer profiling– understanding customer behavior patterns using unstructured data sets such as social media posts or email communication logs;

Fraud Detection– monitoring transactions on data sources across data systems and data formats to identify suspicious activity;

Risk Assessment– showing the correlations among data sets of different entities within an organization or between organizations.

This is a great opportunity for anyone who wants to learn data analytics, as there are plenty of job opportunities for data specialists.

Learn data analytics with Imarticus Learning

Imarticus Learning offers data analytics courses in India that help professionals from diverse backgrounds understand concepts of data analysis. This course enables you to analyze large amounts of data using various methods such as statistical tools, pattern recognition, etc.

Thus, you’ll be able to solve complex problems related to web intelligence, predictive modeling & simulation techniques or extract information quickly with minimal time lag through the Business Analytics course.

For more insight, connect with us through the Live Chat Support system or visit any of our training centers based in – Chennai, Mumbai, Thane, Pune, Bengaluru Hyderabad, Delhi, and Gurgaon.

Mining and Visualizing Data: Important Skill required in Data Analytics

Posted on September 4, 2021March 21, 2024 by Imarticus Learning

Data analytics is one of the fastest-growing fields in today’s business landscape. Data analysts across industries are being tasked with data mining and visualization for different purposes like data interpretation, data analysis, etc.

As a result of this, there’s a high demand for professionals with the data analytical skillset. There are data analytics courses that teach you data mining and data visualization.

These skills are indispensable in the data analytics landscape. If you want to be successful, it is absolutely necessary to learn this skill set.

In this blog post, we will talk about the important skills required for data mining & visualization and how to find a good data analytics course that offers them!

Key skills required for data mining and data visualizing

As a data analytics specialists, important skills you must have to apply for data mining & data visualizing jobs are:

Data Mining: Evaluating data to determine what kind of information it has and how a particular data can be used for various purposes (i.e., analysis). To analyze the data that you want to extract from a database or spreadsheet, tools like SQL queries help find specific patterns within large sets of data. You need to know about the kinds of algorithms available such as linear regression for analyzing relationships between variables recorded over time or clustering techniques applied when investigating groupings in your data set.

Data Visualization: Achieving insights into complex datasets with accurate representation through graphs, charts, etc. This includes designing insightful visualizations without sacrificing data accuracy. For this, you must have knowledge of data visualization techniques like data smoothing to make data trends more visible or data clustering for creating informative thematic maps.

Data Analytics: The application of statistical analysis to data in order to reveal patterns and trends that can be used for decision making, modeling future data, etc. For this, you need knowledge about the various analytical techniques like linear regression or time series forecasting, which are then applied to data sets in order to make predictions with mathematical models.

Understanding these important skills will help you think critically and understand how data analytics is done!

How to find a good data analytics course?

– The course should teach data mining, visualization, and advanced SQL skills.

– It should also have a good rating and be well-reviewed by existing students.

– A course with thorough programming exercises is preferable to one that just offers lectures or videos.

– The institution needs to provide a certificate of completion for the student in order for them to become certified data analysts, as many institutes are providing the courses without any certification.

If you are looking for a data analytics course that has all the above-mentioned features, then Imarticus Learning is for you!

A Rewarding Data Analysts Career with Imarticus!

Knowing the need for new-age careers & the potential of online education, Imarticus offers certification courses in data analytics for beginners and advanced levels.

If you want to further your career in data mining & to visualize data, and have a leg up over other applicants, getting a certification in data analytics is your best option. An advanced degree with various specializations at Imarticus will add credibility to your profile and position you as an efficient professional.

For any further details, contact us through the Live Chat Support system or visit any of our training centers in Mumbai, Thane, Pune, Bengaluru, Chennai, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

How To Become Data Analyst After 12th?

Posted on August 12, 2021January 20, 2024 by Imarticus Learning

Data science, especially data analytics, is becoming the most desired job in the world with time. With multiple job positions and abundant opportunities, it is only wise to opt for data science courses after 12th or graduation. Students aspiring to be data analysts need to have a clear picture of how to become a data analyst and what data scientists do.

The first thing that an aspirant needs to know is that data analytics is a subset of data science, and hence knowing what is data science is paramount to learning what data analytics is.

Why a career in data analytics?

As data is becoming the most essential commodity to organizations worldwide, it is only wise to opt for a data science course in India. There are many benefits of data science courses and the most important one is that you can start a career in data analytics.

Business analytics courses will also boost the knowledge of a candidate in data analytics as it will help in understanding the domain better. Before understanding the requirements let us list the benefits of a job in analytics:

There are many job opportunities in the domain. Thousands of vacant positions are only waiting to be filled by qualified candidates
The salary of a data analyst is even higher than that of an IT professional
There are different domains within data analytics that can be a great option for career and salary growth
A challenging and stimulating work environment with a great work-life balance
An elite lifestyle

What are the requirements to become a data analyst?

You can opt for data science courses after 12th for UG. But, there are further options to start a data science course in India even after UG at PG or doctorate levels. You can also opt for certifications and diploma courses after the 12th.

At the postgraduate level, you can opt for a specialization in computer management and computer science to start your analytics career.

For pursuing a postgraduate program, a bachelor’s degree with a minimum of 50% marks is required, preferably in computer science or data science and from a recognized university.

Apart from educational qualifications, several soft skills like analytical and numerical skills are important for pursuing a career in data analytics. Further, a deep and thorough understanding of computer software and programming languages including querying languages (like Hive, SQL, and Pig), scripting languages (including Python and Matlab), statistical languages (such as R, SPSS, and SAS), and Excel is a must.

Besides, data analysts must possess problem-solving and interpretive skills to explain and present the process of data analysis and its results to decision-makers.

A data analytics course can help a student after 12th to bag high-paying jobs like data scientist, data engineer, database administrator, data analyst, and data architect. If you want to expand your job horizon, then you can even choose to do business analytics courses to end up in even higher positions with better commissions.

How A Big Data Can Be Used In Retail Banking?

Posted on July 8, 2021January 23, 2024 by Imarticus Learning

Like in all successful business ventures, the field of banking is no exception. Big Data drives decisions. The successful use of such large-volume data-based applications already exists and is hugely popular too. Retail banks are big data-driven with nearly all its processes being already supported by such data to deliver business value to their customers.

Their advantages and competitive value is data fueled and depends on the insights provided by the most effective use of such data. It is surprising that in spite of having had access to such large databases for over a decade now, Retail Banking is yet to exploit the numerous benefits uses of big data in retail-banking can bring in.

A data analyst Retail Bankingintern or freshman makes a handsome payout package and the range of the salary depends on the skill-set, certification, and experience. The skills required can vary depending on the employer and industry. As they climb the ladder the promotions depend on continuous skill up-gradation, managerial and leadership skills. Hence, soft-skills and personality development are also important attributes.

Big Data transformation benefits:

With the move by customers to digital transactions many banks did invest substantial efforts in dedicated teams, advanced analytics, appointing data officers, and upgrading their infrastructure. The early adapters are the survivors and have evolved more competitive as new-age banks offering customer-need based services based on Big Data insights. There are many areas where banks are yet to ramp up their use of big data to reap benefits according to the Boston Consulting Group’s reports.

The three main abilities that are leading transformations are:

Data: Multi-source multi-system huge volumes of data petabytes being available which include high definitions of detail and features.
Models and ML: The models are now more insightful thanks to the evolution of better ML software which enables decisions and predictions that are data-driven.
Software technology: The hardware-software clustering technique in software like Hadoop has proven to be big-data centric and allowing use of complex databases non-structured and structured in a cost-effective manner.

There are at least six areas in Retail Banking which focused and coordinated big-data programs can lead to substantial value for banks in the form of increased revenues and bigger profits.

IMPROVING CURRENT PRACTICES WITH POINT ANALYTICS: Applications of big data analytics for individual needs can be simple and yet powerful with the point analytics method.

TRANSFORMING CORE PROCESSES WITH PLATFORM ANALYTICS: Big data and point analytics can be used to improve customer risk assessment and for effectively tapping the marketing potential measures analyzed.

TRANSFORMING CORE PROCESSES WITH PLATFORM ANALYTICS: Big data applications can transform the collection process with step-by-step optimization to bring in a 40 percent savings in terms of writing off bad debts, with effective use of mining outdated customer information, their predispositions, and newer behavioral models.

BOOSTING IT PERFORMANCE: Big-data IT technologies should have need-based linear scaling to reduce costs. Data-intensive models, mining omnichannel customer experience, balancing data warehouse workloads and effective leveraging of data can help.

CREATING NEW REVENUE STREAMS:

A European bank used new architecture, hybrid data-warehousing combining banking tech and big-data by clustering the Hadoop commodity servers. Budget savings were 30 percent with all functionalities!

GETTING THE MOST FROM BIG DATA:

This involves these basic steps of infra and people management detailed below:

Assess the present situation: Banks needs to bring in newer innovative applications as a differentiator from the competition where all organizational levels collaborate to contribute to the use and needs-based model.

Be Agile: The agile requirements of communication, collaboration, and contribution across all processes will help big data transform them.

Critical capability cultivation: If not implemented the cultivation of critical capabilities can hinder the big data transformation of processes. Limiting the capability to the vision essentials is recommended in all domains of big data capabilities.

The three domains of Big data capabilities that Retail Banking should question itself about are:

The usage of data
The engine driving the data
The ecosystem of the data

Retail banks should necessarily explore and act on these domains effectively by using smaller discrete programs to take their strategy to execution.

Conclusion:

BIG business for all banks comes from effectively exploring Big Data. Such large institutions who cash in early will stay ahead of the other banks by adapting technology into the very fabric of their banks for its many benefits.

The future holds great promise for development in the field of Retail Banking and to make a high-paid scope-filled career even without experience. Start your Big Data Analytics Course at Imarticus Learning and take advantage of their assured placements and certification. All the best with your career in big data and retail banking!

For more details, you can also contact us through the Live Chat Support system or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Banglore, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

What Are the Career Options after Graduation?

Posted on June 16, 2021March 21, 2024 by Imarticus Learning

Once you have completed your graduation, it is time to build a successful career that is also very rewarding in a preferred industry. One can choose a traditional career after graduation like civil engineering services, medical, etc., or can opt for trending and new-age jobs that are in high demand, based on their academic background and interest.

For example, the global data science industry is predicted to grow with a CAGR of 26.9% by 2027. You can choose data science courses to build a successful career as a data scientist. Read on to know some of the best rewarding and trending career options after graduation.

Investment banking

Investment banking is concerned with financial advisory services and raising capital for clients. As an investment banker, you may work with a corporate or a governmental organization. Investment bankers act as a mediator between the client and shareholders/investors.

In the investment banking sector, you can start your career as an analyst and will have to work on databases and visualizations. After a few years as an analyst in the investment banking sector, you can upscale to become an associate.

If you have completed your graduation in finance, economics, or mathematics, it is a good choice to join the investment banking industry.

There are many online courses for investment banking that can help you hone your skills. Imarticus Learning is a reputed source that can offer you industry-oriented courses for investment banking. MBA investment banking courses are also offered by Imarticus Learning.

Data science

Firms are preferring candidates that have done a data analytics course over other candidates. With more and more businesses going online, the demand for data scientists is more than ever. If you have completed your computer science engineering with a specialization in data science, this is the right time to join the industry. A degree in other streams like statistics, applied mathematics, economics, etc., can also help you in getting into the data science industry. One can opt for an online data analytics course to know about the industry processes.

Imarticus will offer you data science courses in India led by industry experts. It provides data science courses in India for professionals as well as for recent graduates. Not only will you learn the basic of data analytics, but will also receive placement support through Imarticus Learning’s courses. You can opt for various job roles in the data science industry like data analyst, data engineer, marketing analyst, etc.

Digital marketing

Consumers have shifted from traditional TV sets to online platforms and, firms need reliable digital marketers to engage with them. There are not many institutions/colleges that offer a classroom course for digital marketing. How to learn digital marketing online if there are no classroom courses?

Well, Imarticus provides the best digital marketing courses in India without compromising on the learning experience. You do not have to search for ‘how to learn digital marketing online’ as Imarticus offers a PG program and a pro-degree in digital marketing.

Digital marketing is a vast industry and, you can choose from various fields like mobile marketing, content creation, web design, SEO, SEM, social media management, and many more.

Machine learning

Machine learning is another new-age technology that has a successful future. You can opt for an online course in machine learning and can learn about the key aspects of this field. The machine learning industry has various job roles like machine learning engineer, data scientist, NLP scientist, and many more.

Conclusion

You can find data science courses or investment banking courses via Imarticus that can help you get your dream job. They will also offer the best digital marketing course in India with industry-oriented training. You can do a certification course and can straightway start working after graduation. Choose the right career path after graduation with Imarticus Learning!

With Jobs at Risk, can a Career in Big Data Keep You Safe?

Posted on April 13, 2021March 22, 2024 by Imarticus Learning

Data powers the information economy just like oil powers industrial economy. No wonder they say, “data is the new oil”. A critical asset to many industries, data science and AI changed the way information is gathered and processed. Even when COVID-19 hit the global economy, leading to job cuts and hiring freeze, data science remained unaffected.

While companies do not debate on the importance of data science, collecting and storing the huge volume of data was a big challenge. With limited capabilities, companies had a big struggle to maintain and process data. However, AI and cloud-based technologies provide a solution to this problem. These technologies have created better job opportunities for data professionals than ever before. If you are aspiring for a data analyst career, there isn’t a better time than this.

Why Big Data?

The world is consumer-centric and will remain so despite the hard hits on the economy. Consumerism is the driving force that creates revenue, and job opportunities. From healthcare to e-commerce, all industries are data-driven. The data requirement changes from one business to another, from one company to another. But the enormous amount of unstructured data can be collected using various tools and techniques, organized and structured according to the business needs.

No matter the business is consumer data is vital to all businesses. The tech giants like Google, Amazon etc, and the social media giants like Facebook have been using the potential of data to achieve a competitive advantage over their rivals. And the result is pretty much evident. They are far ahead of their competitors.

What is common among all of them is that they collect large swathes of data regarding their customers – right from what products they buy, which products they ditched after adding to the cart, which posts get better engagement, how long does a person spend time on their webpages – every single move of their customer after arriving on their website is tracked, processed and analyzed to make better business decisions.

The global health crisis saw the extensive application of data, how it can be used to manage a crisis better. From contact tracing, health screening and mitigating the spread. Many apps were developed to help contain the spread, leveraging the GPS to identify the COVID-19 hotspots.

The Increasing Demand for Data Scientists

COVID-19 has indeed changed the way the world functions. With more people staying indoors, individuals flocking the internet also increased. From work to shopping, everything is being done online. And this has increased the requirements for data scientists. While many companies struggle to acclimatize and manage their current employees logging in from a remote place, Tech firms are out with a pressing need to recruit more talents.

With more students and professionals active online, the need for online tools and platforms is growing, and this has led to the demand for an intense expansion of their talent pool.

AI and cybersecurity talents are the most coveted as many companies need technical support in digitizing their businesses. This calls for the improvement of data security measures and to enhance automation to reduce the on-site manpower.

Firms that rely on AI-powered software and those which provide such platforms are on a lookout for technical talents including software engineers and data analysts. Furthermore, financial services companies are also gearing up to become market-ready when the economy reopens. They have started headhunting for people with risk management and data analytics skills to cater to the recent spike in digital banking and online payments activities.

Data science is one of those areas not affected by COVID-19. In fact, the pandemic and the enforced stay-ins have resulted in an increased demand for data scientists. If you are a new graduate, take this opportunity to make the most out of the current market situation.

Enrolling in a Big Data Analytics Course could help you land on a lucrative career in data analytics and big data.

Why Working Professionals Must Learn Business Analytics?

Posted on April 6, 2021March 21, 2024 by Imarticus Learning

The business world is currently witnessing the worst catastrophe ever. Employees across the world are struggling to save their jobs. It is tougher to get a new job, even though there are opportunities around. But what decides who gets the prize?

Believe it or not, professionals who have undergone a business analytics course have a better chance of landing jobs when compared to those who don’t. Learning about analytics works for the advantage of the company as well as for the professionals.

Multi-skilled professionals score more!

The need of the hour is multi-skilled professionals since several companies are paring down their employees to cut their expenses. At this moment someone with multiple skills in a wider area becomes an asset.

The profile of a business analyst covers different areas such as data mining, research, technology, analysis, communications, etc. The analyst is the one who goes through data to come up with the right solution for a problem in business.

A business analyst is someone who identifies the pulse of the customer to find out what is expected and how to deliver the expected quality product. The analyst will need to go through an endless range of data to find out the key factors that work and then implement it most effectively.

It is the implementation part that requires the use of the different areas of expertise expected of a business analyst. Someone who is knowledgeable in this area is most likely to score above the other fellow workers.

Going with the tide

Professionals are taking full advantage of the current work from home scenarios. Not all of them are enjoying some time at home. Instead, they have enrolled themselves in several courses to upgrade them in their profession.

Learning analytics is definitely on the cards for several of them. Not only would it allow them to learn something new but also make them eligible to test some new waters.

Business analysis is definitely one of the best options for freshers. Luckily for them, there are a number of business analytics online training options that they can choose from. Undoubtedly, it will be a new opening for them while helping them swim with the flow.

It’s part of the competition

From the companies’ point of view, the competition between them is getting tighter and the best way to get the edge is to find professionals who are capable of raising the bar. Getting the most skillful person wins half the game.

In order to fulfill such roles, the employees need their skill set polished and upgraded. The scope for a business analyst is higher since the finance as well as the business sectors rely hugely on stored data. The success of any business depends upon how the data is utilized in the best way that reaches the customers.

Bottom Line

The business analysis course makes way for improving knowledge for professionals. At the same time, it also helps them polishing their leadership qualities. This is one profile that qualifies for someone starting from scratch or for a well-established business. Both of them need the assistance of data analysis to grow their respective businesses.

What makes it more appealing is the fact that any professional from any background can become a business analyst and end up making crucial decisions that change the course of the businesses.

Imarticus Launched The Campaign – A Paid Scholarship!

Posted on November 24, 2020April 25, 2024 by Imarticus Learning

Times are highly unprecedented in the pandemic. But many of us have bravely fought the COVID war.

Our frontline workers have put their lives on the line and made countless personal sacrifices for dealing with this situation. At Imarticus Learning, we salute all these warriors.

We are honored to launch our new campaign – ‘The Joy of Giving’ For Providing 100% A Paid Scholarship” to professional tech-based training courses to COVID warriors and their dependents.

The scholarship is aimed at motivating the learner in you.

There are various ProDegrees available on the scholarship covering different disciplines.

You can choose from:

Data Science Prodegree – Knowledge partner KMPG

Financial Analysis Prodegree – In collaboration with KMPG in India

Digital Marketing Prodegree – Industry knowledge partner Digitas

Credit Risk and Underwriting Prodegree – In collaboration with MOODY’S Analytics

All the programs are for in-demand professional careers and will provide you with the necessary skills and knowledge to break into them and secure a bright future for yourself.

Data Science course is one of its kind program in India that provides data science online training with a cutting-edge curriculum, case studies, and real business projects.

It will equip you with practical knowledge of working with data analytics tools like Python, R, SQL, etc. This course can open doors for a variety of data science careers like Data Analyst, Data Scientist, Machine Learning Engineer, Data Visualization Specialist, etc.

The Financial Analyst course is a skill-building program that covers various core concepts within the financial analysis domain such as Accounting and Financial Modelling, Equity Research, M&A, Job Readiness, Valuation and Corporate Strategy, etc.

After finishing this course, students can build a career as a Financial Analyst, Corporate Finance Manager, Asset and Wealth Management Associate, etc.

The Digital Marketing course offers hands-on knowledge and experience of working in the digital marketing domain through its industry-specific projects.

The curriculum includes brand case studies, simulated projects, real website capstone projects, and industry mentorship, to name a few. The Digital Marketing Training will help you in getting job roles like Performance Marketing Manager, SEO Specialist, Content Strategist, Social Media Manager, etc.

The Credit Risk Underwriting course is focused on providing an in-depth understanding of credit underwriting, lending landscape, credit administration, legal and regulatory requirements, etc.

The program not only prepares you for a future career in credit risk underwriting but also provides placement services to help you build a substantial career in this field.

After the end of this course, you will be eligible for many careers including Operational Risk Manager, Risk Analysis Researcher, Credit Financing Manager, Credit Analysis Associate, etc.

Anyone who fulfills the eligibility criteria for the COVID Warrior scholarship can nominate themselves or anyone they know for a paid scholarship for these programs. The nomination process is quite simple.

All you have to do is follow us on Social Media –

And tag yourself or someone you want to nominate using the #ImarticusScholarships. There is no limit on nominations. You can nominate as many people as you want. The team of Imarticus will reach out to you with the next step of the selection process.

All the nominees will be required to submit an essay on the experiences of their fight against coronavirus. The Imarticus selection panel will choose the best 25 essays among them. They will be asked to provide attestations of their Supervisors/Reporting Managers/Head of Department certifying their societal contributions during the pandemic.

Afterward, the shortlisted 25 essays will be featured on Imarticus Learning’s social media handles. The top 4 essays that will generate the maximum engagements from audiences will be offered 100% paid scholarships for the Prodegree programs.

The last day of filing your nominations is Sunday, 29 November 2020. So hurry up!

Don’t miss this great chance of learning with #ImarticusScholarships

Learn Predictive Analytics to Boost Your Data Career!

Posted on May 15, 2020November 29, 2023 by Imarticus Learning

Does it feel like you are stuck in your data science job without any upward movement? Are you tired of doing the same MATLAB analysis that you were doing three years ago?

If yes, then it is time to further your data career with a new addition to your academic qualifications. Introducing predictive analytics as a perfect addendum to your data career.

Why Predictive Analytics?

Just like a finance student will learn about microeconomics to further his career in the field, a data student or professional can add auxiliary credentials to his name. Since predictive analytics goes hand in hand with data analytics, statistics, and machine learning, it can be a great way to explore one more avenue in the ever-growing field.

Predictive analytics essentially means using different data analytics and machine learning techniques to predict the future of a process or of a hypothetical situation. The idea is to use past and present (ongoing) data to accurately predict the future. To state the obvious, this can revolutionize (and already has) the way companies and governments work.

A perfect example of the current times would be to use predictive analytics to predict the outbreak of the coronavirus outcome. Scientists and analysts around the world are already involved in such activities. Research made by them is the source of news stories that predict the estimated duration for which the pandemic will stay.

How Can It Boost Your Data Career?

The first step here is to get enrolled in predictive analytics courses. Research what the best and the most important courses are and then sign up. The more you know about the subject the better will be your job prospects.

Let’s take the example of a data scientist involved in marketing as a professional. She should ideally take a predictive analytics course that enables her to optimize different types of marketing campaigns. A good example would be to predict a customer’s future actions after he has bought a pair of jeans from a shop. If data can also help her understand what physical store he will next visit for shopping, then that is an additional insight for the company to move its marketing cross-channel.

Because she took a predictive analytics course and would study detailed case studies during the tenure of the course, she can use that knowledge to apply for jobs across agencies and companies. Instead of just being a data scientist, she can boast of a specific skill set that can have an actual impact on the potential employer’s marketing campaigns.

List of Sectors Using Predictive Analytics

Another reason why a predictive analytics course would do good to you is that it is leveraged across sections in India and elsewhere. Just take a look at all the sectors that use it as of 2020:

Banking and Financial Services – measure credit risk and reduce online fraud
Retail – Price optimization and solve digital marketing challenges
Governments – analyze census data and detect citizen behavior
Manufacturing – optimize production to reduce costs
Insurance – reduce risks and provide appropriate coverage recommendations based on user history.

The opportunities for individual companies are even higher. Just like the internet marketing example given above, a predictive analytics course can help you explore more of how data analytics work in the real world.

If not anything, it can act as a speciality. Because remember that being a jack of all trades is no longer a good thing in the modern professional world. You have to choose a speciality and be the best in it to succeed.

Tag: Data Analytics Course