Data Analyst Course: From Beginner to Pro

A Course You'll Actually Finish

The Complete Data Analyst Course – From Beginner to Pro

Everything you need to become a job-ready Data Analyst (includes real-world projects and case studies)

Comprehensive Data Analyst Curriculum

From foundational concepts to advanced machine learning - your complete roadmap to a data career.

Generative AI & Fundamentals

Lessons 1-15
  • Understanding Generative AI's Role in Analytics
  • Using AI Tools (ChatGPT, Grok) for Analytical Queries
  • Prompt Engineering for Effective Data Interrogation
  • Applying Generative AI to Analytical Workflows & Ethical Use
  • The Data Analyst Role & Business Value
  • Understanding Data Types & Statistical Methods
  • The Data Analytics Project Lifecycle & Translating Business Needs
  • Data Acquisition, Preparation, and Structuring

Python for Data Science

Lessons 16-44
  • Setting Up Python & Google Colab Environment
  • Core Python Concepts: Variables, Data Types, Operators
  • Data Structures: Lists, Tuples, Sets, Dictionaries
  • Control Structures, Loops, and Functions
  • Reading and Writing Data Files
  • Numerical Analysis with NumPy
  • Data Manipulation and Analysis with Pandas
  • Data Visualization with Matplotlib & Seaborn

Statistical Analysis & Probability

Lessons 45-102
  • Descriptive & Inferential Statistics
  • Data Sampling Techniques (Population vs. Sample)
  • Calculating Central Tendency (Mean, Median, Mode)
  • Measuring Data Spread (Range, IQR, Variance, Standard Deviation)
  • Core Probability & Bayes' Theorem
  • Understanding Data Distributions (Normal, Binomial, Poisson)
  • Measuring Relationships with Correlation & Covariance
  • Validating Insights with Hypothesis Testing (T-Tests, ANOVA, Chi-Square)

EDA & SQL

Lessons 103-156
  • The Exploratory Data Analysis (EDA) Process
  • Data Sourcing, Cleaning, & Handling Missing Values
  • Feature Scaling, Outlier Treatment, and Feature Engineering
  • Univariate, Bivariate, and Multivariate Analysis
  • Fundamentals of SQL for Data Retrieval
  • Combining Tables with JOINs & Summarizing with Aggregations
  • Advanced Queries with Subqueries & Window Functions
  • Connecting Python to SQL Databases

BI Tools: Excel, Power BI, Tableau

Lessons 157-255
  • Advanced Excel: Functions, PivotTables, Dashboards
  • Power BI: Power Query, Data Modeling, DAX Calculations
  • Power BI: Building Interactive Reports & Dashboards
  • Tableau: Creating Visualizations, Sets, Groups, and Hierarchies
  • Tableau: Advanced Calculations with LOD Expressions
  • Tableau: Building Interactive Dashboards with Actions
  • Comparing Power BI and Tableau for Business Intelligence

Predictive Analytics & Machine Learning

Lessons 256-280
  • The Predictive Analytics Project Lifecycle
  • Predicting Categories with Classification Models (KNN, Decision Trees)
  • Improving Accuracy with Ensemble Methods (Random Forest, Boosting)
  • Predicting Continuous Values with Regression
  • Finding Hidden Groups with Clustering
  • Analyzing Data Over Time with Time Series Forecasting
  • Implementing and Evaluating Models with Python & Scikit-learn

Portfolio-Ready Projects You'll Build

Customer Churn Analysis

Use Power BI to analyze customer data and build a dashboard to identify key drivers of churn.

Banking Risk Analysis

Analyze banking data in Power BI to identify, visualize, and report on potential credit risks.

HR Analytics Dashboard

Use Tableau to analyze HR data, such as employee turnover, and present findings in an interactive dashboard.

Credit Card Fraud Detection

Build a machine learning classification model to detect fraudulent credit card transactions from a dataset.

E-Commerce Sales Forecasting

Analyze sales data and build a time-series model to forecast future sales for an e-commerce business.

Interview Preparation

Get ready for the job market with mock interviews, resume reviews, and common technical questions.

15+ Real-World Projects
120+ Hours of Content
15,249 Active Students
Lifetime Updates

Why Choose Our Data Analyst Course?

Real-World Projects

Build practical projects like churn analysis, credit risk assessment, and sales forecasting to build a portfolio that stands out.

Modern Tools

Master the tools data analysts use every day, including Python, SQL, Excel, Power BI, and Tableau.

Statistics & Machine Learning

Go beyond reporting. Learn statistical analysis and build predictive models for classification, regression, and forecasting.

Business Intelligence

Learn to create stunning, interactive dashboards in Power BI and Tableau to translate complex data into actionable business insights.

Career Focused

The curriculum is designed to make you job-ready, concluding with capstone projects and interview preparation.

AI-Powered Analytics

Learn how to leverage Generative AI tools like ChatGPT to accelerate your analytical workflow, from coding to reporting.

Ready to Transform Your Career?

Join 15,249 students already learning Data Analytics and building their future

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  • Data Analytics fundamentals
  • 10+ hands-on projects
  • SQL and Python for Data Analysis
  • Intro to Power BI & Tableau
  • Community forum access
  • Mobile app included
  • Certificate of completion
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  • All capstone projects included
  • 120+ hour curriculum
  • Advanced Statistics & EDA
  • Predictive Analytics & Machine Learning
  • Advanced Business Intelligence (BI)
  • Live coding sessions
  • Career guidance included
  • Industry networking access
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