McKinsey predicts “by 2020, there will be 40,000 exabytes of data collected". Data Science & Business Intelligence is a field that encompasses anything related to data cleansing and analysis. Learn how to extract insights and gain information from data by taking up our wide range of Data Science certification courses and Business Intelligence certification courses.

Popular Courses

Data Science with Python

Data Science with Python

9641 Learners LEARN MORE
Data Science Certification Training - R Programming

Data Science Certification Training - R Programming

13427 Learners LEARN MORE
Business Analytics with Excel

Business Analytics with Excel

6448 Learners LEARN MORE
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Master's Program

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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 Intelligence Courses

Foundational

Introduction to Data Analytics

Introduction to Data Analytics

1324 LEARNERS

Simplilearn’s introduction to Data Analytics course will give you insights into applying data and analytics principles in your business. You will gain an understanding of the complete data analytics lifecycle, from problem definition to solution deployment. And through various industry-specific examples and case studies, you will learn how analytics, data visualization, and data science methodologies can be used to drive better business decisions.

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Advanced

Data Science Certification Training - R Programming

Data Science Certification Training - R Programming

13427 LEARNERS

Simplilearn’s Data Science with R certification training course makes you an expert in data analytics using the R programming language. This course enables you to take your Data Science certification 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

9641 LEARNERS

The Data Science with Python course provides a complete overview of Data Science analytics techniques using Python. A data scientist is one of the hottest fields today and Python is a crucial skill for many Data Science roles. Expand your Data Science knowledge with this Python certification course.

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Business Analytics with Excel

Business Analytics with Excel

6448 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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Tableau Desktop 10 Qualified Associate Training

Tableau Desktop 10 Qualified Associate Training

6441 LEARNERS

This Tableau certification course helps you master Tableau Desktop 10, 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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Power BI

Power BI

2178 LEARNERS

Simplilearn’s Power BI 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?

    Data Science refers to the extraction of knowledge 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. 

  • What is Business Intelligence?

    The term Business Intelligence refers to the application of Data Science to business decisions. For instance, data showing the demographics of your core customers will help you better target your advertisements and become more efficient in your marketing efforts in general.

  • Which are the best foundation courses in Data Science for beginners?

  • Which are the best courses in Data Science for intermediates?

  • Which are the advanced level courses in Data Science?

  • What is the job outlook for roles in Data Science and Business Intelligence?

    There is a growing number of companies trying to fill Data Science and Business Intelligence positions. In fact, there are more than 54,000 global data science jobs posted on LinkedIn alone. “Data Scientist” was one of the top 50 job profiles in the United States and is considered the most promising career in 2020.

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

    Some of the job titles in the Data Science field include:

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

    Becoming a Data Scientist requires an investment of sustained time and effort in mastering today’s most important data science 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, big data, Hadoop, and data visualization tools like Tableau gives aspirants a competitive edge in the field of data science.
     

  • What is the average salary of a Data Science professional?

    Data scientists are offered lucrative salary packages globally, with an average annual salary of $90,801 in the United States. An experienced data science professionals can command even higher salaries ranging up to $137,000 annually.

  • Which are the top industries suitable for Data Science professionals?

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

  • Which are the top hiring companies for Data Science professionals?

    Adobe, Verizon, Amazon, J.P Morgan Chase, Uber, Flipkart, and American Express are just a few of the names on the list of top companies hiring data science professionals. 

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.