Applied Data Analytics

Analyze and visualize data using Python, SQL, Excel, and Power BI to generate business insights.

Tools you’ll work with
Python
R
NumPy
Sagemaker
AWS Lambda
Git
+2 more tools
₹38000
12 weeksBeginner
Instructor
Vaishnavi R
MSC AI • 11+ years • Ex-IBM
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Course overview

Analyze and visualize data using Python, SQL, Excel, and Power BI to generate business insights.

What you’ll learn

  • Understand core concepts of Applied Data Analytics and its industry use-cases.
  • Learn essential analytical techniques including data preprocessing, EDA, statistical modeling, and visualization.
  • Work on real-world datasets to derive actionable insights and data-driven decisions.
  • Explore machine learning workflows, feature engineering, and model evaluation.
  • Master tools like Python, Pandas, NumPy, SQL, Power BI/Tableau, and Scikit-learn for end-to-end analytics.
  • Gain practical Analytical Skill.

Course Curriculum

A structured, progressive curriculum designed to build depth, intuition, and real-world proficiency over time.

This section introduces key concepts and builds intuition through structured lessons and exercises.

Python fundamentals: variables, data types, loops, functions
Working with NumPy for numerical computing
Pandas for data manipulation & analytics
Data cleaning, transformation & handling missing values
Exploratory Data Analysis (EDA)
Visualization using Matplotlib & Seaborn

Who this course is for

  • Laptop with internet connection
  • Basic logical thinking
  • No prior experience needed

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