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Data Courses

Data courses built for anyone who wants to make sense of numbers at work. Learn how data is collected, cleaned, analyzed, and turned into reports people actually use. Build skil

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Empowering Millions Through Professional Learning

Key Skills You Will Build

The core capabilities you’ll practice across Data programs

Conversational AI

Core Python Programming

Data Manipulation amp Analysis

Data Science

Data Visualization

Database Management SQL

Deep Learning Frameworks

Descriptive Statistics

Ensemble Learning

Explainable AI

Exploratory Data Analysis

Generative AI amp LLMs

Inferential Statistics

Partnering With the World’s Leading Universities and Companies
Michigan Engineering Professional Education
Google
PMI (Project Management Institute)
AWS Partner
Microsoft
UC San Diego Division of Extended Studies
Scrum Alliance
PeopleCert
Scaled Agile
Virginia Tech
Saïd Business School, University of Oxford
Michigan Engineering Professional Education
Google
PMI (Project Management Institute)
AWS Partner
Microsoft
UC San Diego Division of Extended Studies
Scrum Alliance
PeopleCert
Scaled Agile
Virginia Tech
Saïd Business School, University of Oxford

Browse Data Courses

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Data Overview

Our data programs follow a simple work flow you will see on the job. You pull the data, clean it, study it, and then share it in a way others can use.

SQL is the starting point. You learn how to pull the right numbers by writing queries that combine tables correctly and do not break totals.

Python helps when you need deeper analysis. You learn how to clean messy data, run basic checks, and find patterns before you finalise what you will report.

Dashboards are where the results get used. You practise building clear reports in tools like Tableau or Power BI, including Power BI learning that matches the PL-300 style.

Across all of this, the key skill is judgment. You learn how to trust the right metric, understand why a chart changed, and explain what it means for the next step.

Know more about Data Courses

Data courses teach you how to make decisions based on raw numbers that people can trust. That means getting data from common sources, cleaning it up, checking that the totals and logic make sense, and then telling the story clearly so that teams stop fighting over the spreadsheet and

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Not Sure Where To Start?

Connect with our learning consultant to get all your questions answered about programs, faculty, and more

Tools That Boost Your Skills

Get hands-on with the platforms and tools covered across our Data programs

ChatGPT
Dalle.2
keras
MatPlotlib
MySQLFSD
NumPy
pandas
PowerBI
python
ScikitLearn
SciPy
Seaborn
tensorflow

Recommended Learning Materials for Upskilling

Explore free webinars, tutorials, career guides, and practical reads to go deeper

Upcoming Webinars - Free Masterclasses

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On Demand Webinar

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Thu, Mar 05, 2026, 10:30 PM (IST)
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Wed, Feb 25, 2026, 7:00 PM (IST)
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Tue, Feb 17, 2026, 9:00 PM (IST)

Articles and Ebooks That You Can Access For Free

Still Curious? Answers to Common Data Questions

The most recognized data certifications are usually based on the tools employers use every week.

For BI and reporting roles, Microsoft Certified: Power BI Data Analyst Associate (PL-300) is widely recognised for Power BI reporting work. If Tableau is the reporting layer in your organisation, Salesforce Certified Tableau Desktop Foundations is a common starting certification.

For data engineering roles, cloud certifications like AWS Certified Data Engineer – Associate (DEA-C01) and Google Cloud Professional Data Engineer are common options.

SQL is still the basic skill that supports analytics, business intelligence, and engineering in all roles.

*All salary figures referenced are based on data reported by employees on Glassdoor. These figures are estimates and may vary depending on location, experience level, company policies, and market conditions. Actual compensation may differ.

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