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Data Analyst — Master’s Course
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Course Features

Duration Self-paced
Level Beginner
Language English
Mode Online
Data Analytics

Data Analyst Course Online — Python, SQL, Excel & Power BI

Launch your data analyst career with this hands-on online master course. You will learn Python and R for data manipulation, SQL across MySQL, SQL Server, and PostgreSQL for querying and reporting, and professional visualisation with Matplotlib, Seaborn, Tableau, and Power BI. The course covers the full analytics workflow from data cleaning through statistical analysis to storytelling with dashboards — supported by 1:1 mentorship and mock interview preparation.

Last updated December 2025
Next cohort starts Oct 1st
$1,200.00 $1,500.00
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Become a job-ready Data Analyst. Learn to inspect, clean, transform and model data to support decisions and uncover patterns across business functions.

  • Foundations: role of data analysis, key concepts, SDLC, Agile/Scrum, Waterfall
  • Programming: Python & R for analysis; SPSS for statistics
  • Data stack: NumPy, Pandas for wrangling; visualization with Matplotlib & ggplot2
  • Databases & SQL: MySQL, SQL Server, PostgreSQL — from fundamentals to advanced queries
  • Big Data & BI: PySpark for processing; Tableau & Power BI dashboards; Excel PivotTables
  • Cloud: Google Cloud Platform (GCP) and Microsoft Azure for data storage & analysis
  • Professional: data cleaning and transformation, critical thinking, communication & storytelling, and mock interview preparation

Finish with a capstone project from scope definition to data collection, analysis, and presenting findings to stakeholders.

1:1 Personalized Mentorship
Mock Interview Preparation
Python & R for Data Analysis
SQL (MySQL, SQL Server, PostgreSQL)
SPSS for Statistical Analysis
NumPy & Pandas wrangling
Matplotlib & ggplot2 visualization
Big Data with PySpark
Tableau & Power BI dashboards
Microsoft Excel with PivotTables
Google Cloud Platform (GCP)
Microsoft Azure for data workloads
Data cleaning, transformation & EDA
Critical thinking & communication
Capstone project
Overview of Data Analysis
Roles and Responsibilities
Importance in Business
Key Concepts & Terminologies
Software Development Life Cycle
Phases of SDLC
SDLC in Data Projects
Principles of Agile
Agile/Scrum in Data Projects
Waterfall Model & Phases
Comparing Waterfall vs Agile
Basic Syntax & Structures
Data Types & Operations
Intro to NumPy
Intro to Pandas
Data Visualization with Matplotlib
Data Manipulation with Pandas
R Basics & Environment Setup
SQL Fundamentals
Basic Queries & Retrieval
Joins, Subqueries & Indexing
Window Functions
CTEs & Recursive Queries
Performance Tuning
Advanced SQL Techniques
SPSS: Introduction
Data Entry & Management
Descriptive Statistics
Advanced Analysis Techniques
VS Code & PyCharm Setup
Writing & Running Code
Debugging & Version Control
NumPy Array Operations
Pandas DataFrames & Series
Creating Plots & Charts
Customizing Visualizations
Advanced Plotting Techniques
PySpark Overview
Setting Up Spark
Processing Data with PySpark
Data Visualization Tools
Interactive Visualizations
Dashboards & Stories
Introduction to Power BI
Connecting to Data Sources
Reports & Dashboards
Advanced Excel Techniques
PivotTables & Charts
Cloud for Data Analysis
Data Storage & Analysis on GCP
Setting Up Projects
Azure Data Services
Data Analysis with Azure
Setup & Management
Querying Data
Data Integration Techniques
Handling Missing Values
Transformation & Standardization
Wrangling Workflows
Developing Critical Thinking
Problem-Solving Strategies
Applying to Data Analysis
Effective Communication
Presenting Data Insights
Storytelling with Data
Defining Project Scope
Data Collection & Analysis
Presenting Findings
Project: Capstone: Data Analysis Project