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Category: Management

The Omnipresent Data Science & its Importance as a Career!

Posted on by Imarticus Learning

Data science is a newly emerging field, which has been gaining momentum in recent years. It can be defined as data exploration and data modeling to extract insights from data to help people make decisions. Data science overcomes data analysts’ many challenges, such as data scarcity, data sparsity, and model uncertainty.

Importance of Data Science in Today’s Era:

The importance of data science in today’s world cannot be overemphasized because it provides solutions for complex problems faced by organizations. Data Science is a recent field, which also has been the subject of study for data experts. Data Science captures data in various formats from different sources such as sensors, social media networks, or video games. In data science, data is analyzed to extract hidden patterns and generate insights.

Data science applies statistical thinking, data analysis, machine learning, data mining, and pattern recognition techniques to identify patterns in data that can inform decisions or solve problems.

Why build a career in Data Science:

Data is the fuel for all businesses.

All business strategies & decisions are data-driven due to the availability of massive data. We use lots of apps which in turn generate loads of data. There is a different kind of data-generating to varying speeds from multiple sources, increasing the data volume.

Data Science skills are high in demand with excellent salaries 

Data Science is an in-demand skill in almost every industry. The number of entry-level jobs is increasing & freshers are being hired in huge numbers. Professionals from the sector are actively looking to transition to Data Science with a bright future as employers prioritize hiring skilled and experienced candidates.

Anyone can acquire Data Science expertise.

best data science courses with placement in IndiaData Scientists can emerge from any field and build Data Science expertise regardless of their backgrounds. Students from any field of educational experience can also build a career in Data Science.

Wide range of Opportunities

Skilled professionals have a wide variety of opportunities waiting for them in Data Science.

Data Science is multidisciplinary, with disciplines like Data Mining, Databases, Machine Learning, Visualizations & Neurocomputing. Apart from the technical skills, there are broader opportunities in the many business domains.

Become Data Scientist with Data Science Courses from Imarticus Learning:

You need to have a few essential expertise to start building a career in Data Science. Good knowledge of technology & programming languages is an additional prerequisite. The most in-demand technologies for Data Science are R, Python, SQL, Hadoop, Java, Spark, Tableau, AWS, C++, SAS, Scala, Hive, Excel, and Azure.

The Data Science Prodegree offered by Imarticus Learning has been designed to develop an understanding of Data Science concepts & build robust models to generate valuable business insights. It is a knowledge-packed professional learning experience that includes a cutting-edge curriculum, real business projects and case studies, and tech-enabled education.

Once you begin the Data Science Prodegree course, Imarticus Learning’s Career Assistance Service module is at your disposal. They conduct detailed career development sessions that help you improve your job profile and ace technical interviews.

Their extensive network of private job openings through our 400+ partnerships pan-India provides students with unfettered access to career opportunities within the Data Science & Analytics domain.

This Prodegree course goes a long way towards helping you unlock lucrative career opportunities in the coveted fields of Data Science and Business Analytics.

 

Related Articles:

Why Is Data Science A Good Career In 2021
How Data Science Training will ensure business continuity in the post covid world
How an Artificial intelligence and Data Science work for an online conference

 

Augmented Analytics: The Future of Data & Analytics!

Posted on by Imarticus Learning

Augmented analysis simplifies data analysis and helps in getting insights. It is used by firms/companies to forecast better and to automate data analysis processes. Augmented analyses use enabling technologies like AI and machine learning to help speed up and automate data analysis processes.

You can manage your business data up to an extent when the data generated is large one needs augmented analysis to manage big data sets and extract insights. Less time will be spent on understanding the data with the help of augmented analysis. Let us see how augmented analysis is the future of data & analytics.

Benefits of Augmented Analysis

The pros of augmented analysis are as follows:

  • You can automate data analysis processes like data cleaning, forecasting, data management, etc. with the help of augmented analysis.
  • Expert developers can build better business models with the help of insights via augmented analysis. The accuracy of predicting trends and business opportunities increases.
  • Data preparation under which the data is classified and arranged in a structured manner is a very tedious chore. This process can be automated via augmented analysis.
  • The augmented analysis will help you in cost optimization as it will help you in using less human labor and more automation. Your developers can provide you with more insights with the help of augmented analysis.
  • Risk identification and management can be done properly with the help of augmented analysis.
  • Data insights can be represented in natural language statements to people who are not into data analysis. In organizations, augmented analysis helps in conveying business insights and forecasting results to all employees.
  • Data security and privacy can be managed better via augmented analysis. Any anomaly in the data set can be identified immediately and can be managed. It also helps in adhering to data regulations laid by the regulatory authorities.

 Why Big Data Management is Necessary?

The augmented analysis helps in big data management as such a large amount of data cannot be managed manually. Big data management is done by firms to know about market trends, opportunities, market volatility, etc. It also helps in knowing about the buying habits of customers/clients. You can target an audience of any particular age group, locality, gender, by using data insights. You will stay ahead of your competitors and grab potential opportunities.

big data analytics courses One can learn big data management via Big Data Analytics Course from a trusted source like Imarticus Learning.

Data Analytics Future

The latest technologies like machine learning, deep learning, AI, etc. are shaping the way the data analytics industry worked.

Companies and firms are producing more data every day and a lot of businesses are shifting online, to manage this data augmented analysis is being adopted by firms. Developers can boast a more successful Big Data Analytics Career via augmented analysis as it will increase their analytics ability.

Conclusion

Data analytics is one of the fastest-growing sectors recently. Companies and firms are investing in data analytics to gain profits in the long run. One can learn from Big Data Analytics Courses available on the internet to build a successful Big Data Analytics Career. Grab your online course now!

Explore the Archives and Discover How Dramatically the Field of Data Science has grown in the Past Decade

Posted on by Imarticus Learning

Data science has grown to be a data-intensive field in the past decade. In data science, data is king. The data you collect and analyze can help you make decisions to improve your business or solve problems that seem impossible to tackle.

Data scientists are in demand as data becomes more prevalent, data storage gets cheaper, data analysis tools become more sophisticated, and data-driven decisions grow in importance. In this blog post, we explore how data science has grown over the past decade and why data science should be your career choice!

How dramatically has the field of data science grown in the past decade?

The data science industry has grown drastically in the past decade. It is projected to grow by 48% between 2016 and 2026! That’s a huge number – especially when you consider how much data there already was in 2006. This growth has led to increasing demand for data scientists who understand data visualization best practices as well as data science best practices.

Here are some key highlights into the boom of the data science industry:

– Data science is growing at a rate of 13% per year, which is faster than the average growth rate in other fields. This data was from 2017, and it’s only been accelerating since then

– Data scientists are some of the highest-paid professionals around, with an annual median salary of $106,500 according to Glassdoor, as well as self-reported salaries on data science forums

– Data science is a highly valuable skill in the modern economy, which means data scientists are not only making good money but also have jobs that can’t be automated

– As more companies become data-driven and incorporate data into their decision-making processes, it creates new opportunities for employment.

Why is data science such an exciting career choice?

Data science is such an exciting career choice because data scientists are in high demand, and data analysis can be applied to almost any industry. Data scientists are in high demand because companies need individuals who can analyze data and provide insights based on their findings.

Data scientists must be able to work with large amounts of data, often from different sources, then use that information to create business strategies or solve problems by designing algorithms that process data sets in a way that improves efficiency or effectiveness. Individuals interested in this field should consider taking data science courses with placement.

Learning data science enables students to have an in-depth understanding of data science and data analysis, as well as the tools that data scientists use. It is also a very practical course when it comes to finding employment upon graduation as it enables students to practically use the skills that they have learned in their course.

Gain career excellence as a data scientist with Imarticus Learning!

Imarticus Learning is a leading institute in India offering a data scientist certification with placements. The demand for data science specialists is increasing rapidly, and many enterprises are hiring data scientists to manage their internal operations like finance, marketing, etc., or to gain new insights from the data collected.

Data Science online trainingThis data science online training is designed by industry experts that enable you with the required skills and knowledge for a data-driven career.

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

Understanding the Role of Data Analytics for E-Commerce Success!

Posted on by Imarticus Learning

The demand for data analytics in e-commerce is on the rise. Data analytics is a key tool for understanding the behavior of your customers and prospects, allowing you to make data-driven decisions. Data specialists have a promising future in this industry, and companies are clamoring to find talented individuals who can help them better understand their consumers’ desires.

The increased use of data analytics will be pivotal for businesses that want to stay competitive in today’s marketplace. This blog post will discuss how data analytics can help e-commerce businesses succeed in today’s competitive marketplace.

Role of Data Analytics in E-commerce Success

Data analytics plays an increasing role in e-commerce success. Companies are looking for data analysts with the skills to help them gain a competitive advantage by understanding customer needs, behaviors, and trends within their industry. More specifically, companies rely on data analytics professionals to find:

  • Targeted customers that they would not have reached otherwise
  • Deep insights into areas such as product development and merchandising
  • Actionable information on factors such as click rates or session times across devices (desktop vs. mobile) can be used to improve online conversion rates

In addition, these new positions require individuals who can communicate effectively throughout a company’s hierarchy—from senior management down to marketing teams—to ensure all stakeholders have access to the information they need to make informed decisions.

Data is also playing an increasing role in offline commerce. The challenge of understanding customer behavior across channels has led to the increased demand for data analysts with a comprehensive view of all aspects, including brick-and-mortar retail and online sales and promotional efforts.

A growing number of companies are seeking specialists who can collect, cleanse, manage and analyze large amounts of disparate datasets at scale, helping them gain insights about their customers that were previously hidden or difficult to address.

Companies have access to more sources than ever before—from internal company databases such as CRM systems (customer relationship management) and ERP systems (enterprise planning) through social media platforms such as Facebook or Twitter. In addition, companies are finding new ways to interact with their customers and gather data through mobile apps and other interactive tools that enable them to obtain information about customer preferences (e.g., location) in real-time.

What kind of skills are required to succeed as a data specialist?

For a successful data analyst, it is important to have strong analytical skills. You need to ask the right questions and then find and understand relevant information (data). Some of the other qualities that are needed include:

  • Ability to work with large datasets
  • Attention to details
  • Analytical thinking rather than creative thinking
  • Ability to identify patterns
  • In-depth knowledge of statistical concepts like standard deviation, correlation, and regression analysis.

Have a promising data specialists career with Imarticus Learning

Big data analytics courses in IndiaImarticus Learning offers a data analytics certification course that prepares you for a high-growth career. Our unique combination of analytics courses helps students build strong foundational skills and practical industry exposure to build a successful career in the field of Data Science and Business Intelligence.

This course is developed and taught by industry experts with significant experience in analytics. It includes a range of topics, from basic statistics & probability theory to advanced machine learning techniques. This course will help you move forward in your career!

For more details, contact 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

What are The Commonly Asked Questions During a SAS Interview?

Posted on by Imarticus Learning

SAS-based employments are not as extreme as they appear with regards to splitting them. It’s prudent to have your nuts and bolts clear in SAS, in case you’re picking as a fresher in the field. At a fresher level, it’s for the most challenging part to finish the whole syllabus of SAS.
Here are some customarily made inquiries that you may confront while showing up for a SAS meet. These example questions are confined by specialists who train for SAS preparing to give you a thought of sort of inquiries which might be asked in a meet. We have taken full care to provide revise answers of every investigation.
Related Article : What is SAS?

1.   Characterize the fundamental structure of SAS programming?

The fundamental structure of SAS comprises three essential segments:
Program Editor
Explorer Window
Log window

2.   What is the Data Step?

The Data Step is a way of making a SAS dataset, which conveys the data alongside data dictionary. The work of this data dictionary is to keep the data about the factors and their properties.

3.   Characterize the basic syntax style in SAS?

One must have the accompanying essential components to run a program effectively in SAS:

  • Toward the end of each line, there must be a semi-colon.
  • There must be a data statement that characterises your data index
  • The input system is required
  • There must be at least one space between a word or a comment.
  • At long last, there is a requirement for a run statement.

4.   What is the role of the output statement in a SAS Program?

You can utilise the OUTPUT statements to save summary stats in a SAS data index. This data would then be able to be employed to make customized reports or to spare verifiable data about a procedure.

5.   For what you can utilize options in the OUTPUT statement?

  • To indicate the stats to save in the data output index,
  • To show the name of the output data index, and
  • Process and save percentiles not naturally registered by the CAPABILITY procedure.

6.   Do you know to interleave in SAS?

Interleaving joins individual, arranged SAS data indexes into one organized SAS data collection. For every perception, the accompanying figure demonstrates the value of the variable by which the data indexes are arranged. You interleave data collections utilizing a SET statement alongside a BY statement.

7.   Clarify how the SAS program can be debugged and tested?

You can test and debug SAS program by utilizing Obs=0 and frameworks alternatives to follow the program execution in the log.

8.   What is the SAS information?

SAS INFORMATS are utilized to read, or input data from external documents known as Flat Files ASCII records, content documents or consecutive records. The information will advise SAS on the most proficient method to read data into SAS factors.

9.   Describe what SAS functions do you use to check data approval and errors?

Use Log to check errors and use things like Proc Freq, Proc to check for data validation.

10.   Distinguish between SAS procedures and functions?

  • The distinction between SAS procedures and functions is that
  • The method expects one variable value for each observation.
  • While functions anticipate that qualities will be provided over an observation.

11.   How will you create a permanent SAS data set?

  • To make a permanent SAS data index, there are two stages important,
  • Appoint a library and engine.
  • Make the data. Be sure to allow both a library (other than WORK) and data collection name to make the data index lasting.

Conclusion

So these were probably the most Tricky SAS Interview Questions asked at a middle level and propelled level. The expectation, all of you, will have the capacity to answer these Tricky SAS Interview Questions if asked in a SAS meet.
Related Articles :

Predictions For The Future Of Big Data

Posted on by Imarticus Learning

While a lot of experts believe that there’s some great stuff in store for the future of big data, it is also true that technology will be greatly advancing throughout 2017. This is why there are a number of complex facets of big data, which are increasing by the day. Various attributes of big data, such as artificial intelligence and cloud computing, are believed to have a huge impact on big data analytics. There are a number of factors that exhibit the potential to change or more likely determine the direction at which big data is moving. For instance, there will soon be a number of customers who would replace the businesses, in demanding various amounts of data, to look for the cheapest hotels and understanding climate issues and similar concepts. There is a very acceptable idea today, of a reality where it would be the customers, the common man, if you may, who would be demanding personalized, tailored artificial intelligence technology, to suit their particular needs and demands.
While these seem like mere examples, with a tinge of realism, there are absolute chances of these becoming a reality very soon.
Ten years ago, all the data that was ever generated and accumulated, made up the highest denominations of storage space, which was namely Gigabytes or Terra-bytes, but the recent few years have made an explosion of data, into what is known as exabytes; this term roughly refers to billions of Gigabytes of data. This is where we derive the term ‘big data’ from, it is to denote the humongous amounts of data that has been generated, all over the world, in such a short amount of time. Regardless of whatever happens in other aspects of this field, one thing we can be absolutely certain of. That is, that data will be continuously growing, which means that soon there will come a time, when we will be talking about Zettabytes, which roughly amounts for a trillion Gigabytes.
Artificial Intelligence began its advent, as just a buzzword which was continuously used by sci-fi movie enthusiast and was mainly used to refer to technology only seen in sci-fi movies and the likes. Today, this term is no longer reserved for those, who are obsessed with technological gizmos, or those involved in science. It has very well become a part of our everyday lives, through various examples, like Google’s Allo, Microsoft’s Cortana and Apple’s Siri. There are absolute indicators that AI has full potential of transforming, from something nice to have to very essential technology to have. There are so many changes and futuristic developments that big data can make today, as well as in the future.
One of the biggest prediction is the fact that big data can result in various advanced applications for fields of national security, customer behavior tracking, weather forecasting, HR, sports, health and so on.

One prediction is definitely going to happen, which is that big data will have a better, smarter and a huge impacting role to play in the future.

Loved this blog? Try these blogs as well –
What’s Machine Learning All About?
Is Big Data Really Changing The World?

How an Artificial Intelligence and Data Science Work For an Online Conference?

Posted on by Imarticus Learning

Artificial Intelligence and data science are the driving force behind most of the online conference tools available now. The more advanced the AI used, the better its experience is for the users. The advancement enables the user to have a more personalized and better quality video feed and experience.

Artificial intelligence and video conferencing

Already there is the option to replace and blur the background as per convenience. The use of Artificial Intelligence and data science in this arena is much more than that. Background manipulation is only the tip of the huge iceberg.

There are other features such as translation for those who are not familiar with the language spoken and it works either way when implemented properly. There is another possibility of transcribing the same to make it easier to understand.

The noise reduction in the background comes as another advantage where there could be distractions, especially when it is working from home scenarios.

All of these features make online conferencing more convenient and comfortable which is crucial at the moment. As work from home is becoming more normal than ever and online conferencing is the big ‘thing’ now, it needs all inputs from the Artificial Intelligence industry to make it simpler.

How data science comes into the picture?

Although Artificial Intelligence and data science sound similar, they are two sides of the same coin. While AI is the major force behind online conferencing, data science is no less important.

Data science comes in handy when the employee’s data needs to be analyzed. For eg, in order to find the ideal time for a conference, the log in log out time of the employees would be useful. By analyzing this data, a more appropriate time could be deduced where there is a possibility of maximum participation.

The chatbots powered by Artificial Intelligence could also need the backup of data science to implement it more effectively. It helps to communicate with multiple users at the same time and reduces the call time for both sides.

Amazon has implemented these chatbots and has found success with the same. The users have also expressed satisfaction when it comes to minor issues which do not usually need waiting in line to talk to customer care. This is a perfect example of AI and data science in use.

Learn Artificial Intelligence and data science

AI and data science are raising the bar with their advancements and specializations. Its popularity and demand are at an all-time high with numerous job opportunities in both fields.

People are queuing up to enroll in an Artificial Intelligence course at any cost. Specializing in this area is fruitful for the professionals and newcomers equally.

Artificial Intelligence and Data ScienceStarting a data science career may have been difficult in the past but it is a golden opportunity for all right now. Unlike Artificial Intelligence, data science is more beneficial for working professionals to maintain and advance in their careers. It helps them climb the corporate ladder a lot easier than ever. Moreover, there are multiple branches in data science that one can easily choose the most appropriate for their career.

Wrapping up

Though data science and Artificial Intelligence were present in various aspects of life, the pandemic has made it more familiar for the common man. Online conferences are only one such aspect but the one that has made the maximum impact on everyone. There was a time when such concepts were frowned upon but the increasing use of smartphones and the user-friendly approach of such technology has made it possible to make online conferencing a normal and ordinary household term.

How COVID-19 Is Revolutionizing the Indian Analytics Industry?

Posted on by Imarticus Learning

As India recovers from the deadly second wave of the COVID-19 pandemic, the country is witnessing a first-hand revolution in demand for data analytics as a solution and its various use cases. An industry that has come to fruition over the last 7 years has steadily been gaining the attention of the masses; however, after the pandemic, experts are taking note that the importance and popularity of data analytics as a career choice will increase exponentially.

A recent report published by Analytics India Magazine shared that the Data Analytics Industry earned a total revenue of 35.9 bn USD as of March 2020, signifying a sharp increase of 19.5% over and above the past year. The report went on to highlight the fact that Data Analytics as a solution will encompass 35% of all IT solutions in India by the end of 2025.

This and data from several other peer-reviewed sources point at the steady growth this industry is witnessing in India, making it an ideal choice for those who are looking to foster a career in data analytics both as a novel approach or as career advancement and transition.

But what changed in the industry, and why are experts predicting an increased demand in this domain?

To put it simply, over the past couple of years, companies across all industries have slowly made the transition from guesswork to predictive analytics, which empowers them to foster key decisions by analyzing past market trends.

Although this industry was witnessing steady growth over the past few years, the onset of the pandemic put it into perspective for many, how important it is to expertly analyze the data we collect and take note of key dynamics and trends which will influence consumer behavior for days to come.

For instance, before the pandemic, data harvesters rarely focused on the movement data they collected from consumers, as use cases of these are yet to be pinpointed; however, as the nationwide lockdown started, it became abundantly clear to key stakeholders that expertly analyzing movement data can not only help them track the spread of the pandemic, but also equip them with key insights in terms of precautionary measures to be taken.

However, this use case would not have been possible without the intervention of advanced data analytics engineers from the best firms in India, thus contributing to the rising demand for talented professionals in this field.

Data Science Course

The Way Ahead

After the US, India is set to be the next battleground for developing a state of art data analytics hub, and several key observers of the industry have taken note of this fact. With the rising demand for data analytics as a solution among both public and private entities, there has never been a better time than this to foster a career in data analytics.

Coupled with the rising demand, there are now more resources available for those willing to learn data analytics and foster a future career which is immensely rewarding across multiple verticals.

Here Is How You Can Become A Future-Ready Data Analytics Professional!

Posted on by Imarticus Learning

Employers of all kinds are fast recognizing data science as one of the most in-demand skills. Businesses, government agencies, medical institutions, and charitable groups are all hiring data scientists at a rapid pace.

Do you want to enter the workforce or improve your data science skills? Now that data scientists are in high demand; there are plenty of opportunities to study the craft.

Enroll In Any Imarticus Online Data Science Courses

Online learning is the most cost-effective and trustworthy method of instruction. Before you enroll in a course, verify that it covers the topics you’re interested in and that it is appropriate for your ability level.

Data analytics courseIndustry specialists together created the Imarticus postgraduate data analytics certification program to help you understand real-world Data Science applications from the ground up and build powerful models to deliver relevant business insights and predictions.

This program is for recent graduates and early-career professionals interested in pursuing a data science and analytics career, the most in-demand job skill. With this data science course with a job assurance guarantee, you may take a considerable step forward in your career.

 

How Do I Register For The Data Analytics Course?

This data analytics certification is just what you need if you’re an inquisitive spirit who wants to dominate the digital business by studying the latest and most in-demand data science abilities.

Once you have completed your counseling session and understood this course is right for you; you can then proceed to apply for the data science course in three easy steps:

  • Enquire
  • Enlist in a counseling session
  • Enroll

What Is the Program’s Duration?

The PG Program in Data Analytics is a full-time program that lasts six months (on weekdays). Each week, you will have 4-hour-long lessons from Monday through Friday.

What Is a Hackathon? How Does It Assist?

While enrolled in an Imarticus course, you will be assigned a Course Guide/Mentor who will assist you academically and advise you on the best career route for you.

Your Course Guide will inspire you to finish assignments, attend classes, and get the most out of their PG program in data science with placement.

Moreover, your Course Guide or Mentor will also be playing a role in the following activities:

  • Keep an eye on your grades and academic progress.
  • Provide you with insider information to help you land the job of your dreams.
  • Encourage you to do better on projects and homework in class.
  • Make lasting friendships that will help you get through the course and beyond.

The hackathons at Imarticus Learning allow you to compete against a large number of students and stand out from the pack. They are regarded for instilling critical thinking skills in Data Analytics and pushing them to achieve at a higher level.

Take Away

It takes more than being able to evaluate large amounts of data to become a Data Analytics Professional.

You must also be familiar with the organization’s business processes and identify ways in which your participation will impact, which is now available with Imarticus online data science courses.

What Makes an Imarticus – UCLA Certified Analytics & AI Professionals To Be Forever in Demand

Posted on by Imarticus Learning

Modern-day technologies like AI (Artificial Intelligence), ML (Machine Learning), data analytics, etc. are revolutionizing the working culture of businesses & firms. Analytics professionals use these technologies to ease & pace the analytics process.

Analytics professionals are required to extract meaningful insights from huge chunks of unorganized data to make better business decisions. Professionals with a certification from a reliable source surely get an edge over others when it comes to upward mobility.

Let us see how can you get the Imarticus – UCLA certification in Analytics & AI along with its benefits.    

Course Overview

Imarticus provides a post-graduate program in Analytics & Artificial Intelligence in collaboration with UCLA Extension which is a major certificate issuing institution in the United States.

Analytics and Artificial Intelligence CourseYou will get dual certification from two reputed sources if you opt for this course. Many individuals have built their Analytics and Artificial Intelligence careers successfully with the help of this course.

You will be receiving live training from world-class celebrities from UCLA & Imarticus. This course has around 400+ hiring partners with a 3-30 lakh salary range. You should have completed your graduation with at least 60% marks to enroll in this course.

Let us see how Imarticus – Analytics & AI professionals are forever in demand.

Broad Course Contents

This 28 weeks long online course covers all the aspects of analytics & AI along with data science fundamentals which helps in building a successful career. You will get to know about various tools/languages via this course like Python, Scikit-learn, Keras, TensorFlow, NLTK, OpenCV, etc. The major topics which will be covered in this course are as follows:

  • Data Science Fundamentals – You will be introduced to statistics in the first four weeks. You will also get to learn Python basics during this tenure. After that, you will perform data analysis with Python. Various concepts of data processing & statistics like central tendency, standard deviation, Z-score, etc. will be taught to you.
  • Machine Learning – ML will be taught to you for 6 weeks. Various topics of machine learning like multiple regression, correlation analysis, dummy variables, etc. will be taught to you. You will also be able to run various ML models in Excel in the practical classes. You will also learn about data science business models developed with the help of machine learning.
  • Deep Learning – Deep learning is a cutting-edge technology used for forecasting & enhancing decision-making ability. You will be taught about deep learning with an industry-first approach for 6 weeks.
  • NLP – Natural Language Processing (NLP) has helped in enhancing the ways humans react with computers. It has also automated the analytics process in firms/organizations. You will be studying this topic for about 4 weeks.
  • Computer Vision – You will be taught about computer vision, an AI-based technology that helps computers in extracting information for digital images and videos. You will focus on this topic for around two weeks including practical classes.

Pros of the Course

Besides the gravity of certifying institutions, the teaching methodology of this course ensures that the students will have a long run in the industry.

 

Analytics and Artificial Intelligence CourseThe pros of opting for this Imarticu’s Analytics and Artificial Intelligence course are as follows:

  • This instructor-led training is self-paced so that you can take your time to understand concepts.
  • You will work on various in-class industry-oriented projects to know about the practices in the industry.
  • You will also come across practice projects, boot camps, capstone projects, workshops, etc. if you opt for this course.
  • You will also get to test yourself in a hackathon at the end of the course.
  • The last two weeks of the course will be dedicated to placement preparation where you will get to learn from industry experts. Imarticus also provide excellent placement support to its students.
  • You will be provided a dedicated program mentor to guide you through the course and also for career advice. You can also monitor your test results & course progress.Analytics and Artificial Intelligence Course

Conclusion

This course follows an industry-first approach to make you ready for the industry. You can build a successful career with the broad topic coverage & placement support of this course.

Analytics and Artificial Intelligence Curse

Enroll in the Imarticus – UCLA Analytics & AI course now!

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