Data Analyst
Master SQL, Python, Power BI, and modern AI tools. Build a portfolio of real-world projects and launch your career in data.
Master Data Analytics Step by Step
Follow a structured learning journey covering data analysis, Excel, SQL, Python, Power BI, statistics, real-world case studies, Generative AI, portfolio building and interview preparation.
checklist Topics Covered
- check_circle Introduction to Data Analytics
- check_circle Understanding Data and Information
- check_circle Data Analytics Lifecycle
- check_circle Types of Data & Structured vs Unstructured Data
- check_circle Data Collection Methods & Cleaning Fundamentals
- check_circle Data Exploration, Identifying Patterns and Trends
- check_circle Business Questions and Data-Driven Decision Making
- check_circle Introduction to Data Analytics Tools
stars Skills You Will Acquire
Understand the complete data analysis process and apply analytical thinking to real-world problems.
Your Complete Data Analyst Learning Journey
Follow a structured 9-module learning path designed to take you from understanding data fundamentals to building projects, using modern analytics tools, working with Generative AI and preparing for professional opportunities.
Build Real Projects. Build Your Data Analyst Portfolio.
Turn your learning into practical experience by working on realistic datasets, business problems, dashboards, SQL analysis, Python projects and AI-powered analytics workflows.
Software Performance Dashboard
Analyze sales data, identify top-performing products, understand regional performance and create an interactive Excel dashboard for business reporting.
E-Commerce Customer & Sales Analysis
Use SQL to analyze customer behavior, product performance, orders, revenue and purchasing patterns from an e-commerce dataset.
Python Data Analysis
Explore customer data using Python, clean the dataset, identify patterns and discover factors associated with customer churn.
Business Intelligence Dashboard
Build an interactive Power BI dashboard to track revenue, sales, customers, KPIs and business performance.
Marketing Campaign Analysis
Analyze marketing campaign performance and discover which channels, customer segments and campaigns generate the best results.
AI-Powered Data Analysis Workflow
Combine Data Analytics and Generative AI to accelerate SQL analysis, insight generation, reporting and data storytelling.
What Will You Be Able to Do?
Analyze Real Data
Process and analyze complex datasets from various sources.
Query Databases
Write complex SQL queries to extract necessary information.
Use Python
Automate tasks and perform advanced data manipulation.
Build Dashboards
Create interactive Power BI dashboards for stakeholders.
Apply Statistics
Use statistical methods to validate findings and A/B tests.
Leverage AI
Utilize Generative AI to speed up analysis and coding.
Solve Problems
Translate business questions into analytical approaches.
Present Insights
Communicate complex findings clearly to non-technical audiences.
Pass Interviews
Tackle technical assessments and behavioral questions.