With over 2.5 quintillion bytes of data generated every day, businesses today are continuously striving to harness actionable insights out of it. Hence, Data Science and Business Analytics have become two of the most important buzzwords across businesses and industries, and also the most sought after and promising skills of the future. And if you wish to ride the wave of automation and transformation, enrol in our data science and business analytics course and qualify for a better tomorrow!

Popular Data Science & Business Analytics Courses

Data Science with Python

Data Science with Python

15186 Learners LEARN MORE
Data Science Certification Training - R Programming

Data Science Certification Training - R Programming

18578 Learners LEARN MORE
Power BI

Power BI

4433 Learners LEARN MORE
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Data Science & Business Analytics Master's Program

Turbocharge your learning with our custom-tailored master's programs

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  • Ronald van Loon
    Ronald van Loon Top 10 Big Data and Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

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All Data Science & Business Analytics Courses

Foundational Data Science & Business Analytics Courses

Introduction to Data Analytics

Introduction to Data Analytics

3582 LEARNERS

Simplilearn’s Data Analytics for beginners course will give you insights into how to apply data and analytics principles in your business. Learning analytics, data visualization, and data science methodologies through this course will make you capable of driving better business decisions and ROI.

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Advanced Data Science & Business Analytics Courses

Data Science Certification Training - R Programming

Data Science Certification Training - R Programming

18578 LEARNERS

Simplilearn’s Data Science certification with R Programming training makes you an expert in data analytics using the R programming language. This course enables you to take your Data Science skills into a variety of companies, helping them analyze data and make more informed business decisions.

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Data Science with Python

Data Science with Python

15186 LEARNERS

The Data Science with Python course provides a complete overview of Data Analytics tools and techniques using Python. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.

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Tableau Certification Training

Tableau Certification Training

12483 LEARNERS

This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics by learning Tableau and how to best use this training in your work.

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Business Analytics with Excel

Business Analytics with Excel

10897 LEARNERS

Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics with Excel course, which includes Power BI training. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.

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Power BI

Power BI

4433 LEARNERS

Simplilearn’s Power BI certification training will help you learn Power BI concepts like Microsoft Power BI Desktop layouts, BI reports, dashboards, Power BI DAX commands, and functions. In this Power BI certification course, you will explore to experiment, fix, prepare, and present data quickly and easily.

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Frequently Asked Questions

  • What is Data Science and Business Analytics?

    Data Science: Data Science refers to the extraction of insights from the data gathered using different methodologies. The process involves identifying the problem, performing an exploratory study on the data, modeling the data using various algorithms, and finally visualizing the results through graphs, dashboards, and more. 

    Business Analytics: Business Analytics is a field that involves building simulations and analysis models to understand realities, create scenarios, and predict future states of business. In simpler words, it’s a practice of combining key data about organizational performance to improve the planning and performance of a business.

  • What are the best foundation courses in Data Science and Business Analytics for beginners?

    Here are some of the best foundation courses in Data Science and Business Analytics for beginners:

  • What are the best courses in Data Science and Business Analytics for intermediates?

  • What are the advanced level masters in Data Science and Business Analytics?

    Here are some of the best advanced-level masters courses in Data Science and Business Analytics:

  • Do you offer any university partnered programs in Data Science and Business Analytics?

    Yes, Simplilearn provides you two Post Graduate Programs in partnership with Purdue University - Post Graduate Program in Data Science, Post Graduate Program in Data Analytics, and Post Graduate Program in Business Analysis.

  • What does the Data Science and Business Analytics job market look like?

    IBM had predicted that the demand for Data Scientists will grow by 28% in 2020. Going by the recent trends, there are more than 54,000 global data science jobs posted on LinkedIn alone. In fact, “Data Scientist” was one of the top 50 job profiles in the United States and is considered the most promising career in 2020. And so is the case with Business Analytics. As per a report by McKinsey Global institute, there is a requirement of 140,000 - 190,000 individuals possessing Business Analytics skills in the USA alone.

  • What are the top job titles in the field of Data Science and Business Analytics?

    Here are some of the top job titles in the field of Data Science and Business Analytics:

    • Data Analyst
    • Data Scientist
    • Data Architect
    • Analytics Business Partner
    • Business Analytics Specialist
    • Business Intelligence Analyst
    • Statistical Programming Specialist
    • Business Intelligence Engineer
  • What is the recommended career path for Data Science and Business Analytics aspirants?

    For a Data Science and Business Analytics aspirant it is mandatory that he/she invests a great amount of time and effort in mastering today’s most important data science and business analytics concepts. Aspirants need to have an in-depth knowledge of databases, data engineering, and programming languages such as Python and R. Additionally, an understanding of machine learning, and data visualization tools like Tableau gives aspirants a competitive edge in the field of data science.

  • What is the average salary of Data Science and Business Analytics professionals?

    Data Scientists and Business Analytics managers are offered lucrative salary packages globally. The average annual salary of a data scientist is around $90,801 in the United States. An experienced data science professionals can command even higher salaries ranging up to $137,000 annually. On the other hand, a Business analytics manager earns around $95,920 annually, with experienced professionals earning up to $127,000 per annum.

  • What are the top industries suitable for Data Science and Business Analytics professionals?

    Data-driven decisions have helped companies achieve higher ROI and various sectors across industries are hiring data scientists and business analytics professionals now. Information technology, retail, eCommerce, BFSI, manufacturing, biotechnology, and telecommunication are some of the top industries seeking data science and business analytics professionals.

  • What are the top companies hiring for Data Science and Business Analytics professionals?

    Here are some of the top companies hiring Data Science and Business Analytics professionals:

    • Oracle
    • Salesforce
    • JP Morgan Chase
    • Intuit
    • Amazon.com
    • Amazon Web Services
    • Lenovo
  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.