Python Basics: Data types, loops, functions
File handling, error handling, list comprehensions
Working with CSV, JSON, and Excel files
π Tools: Jupyter Notebook, VS Code
π Project: Data cleaning on sales dataset
Pandas: DataFrames, merging, grouping
NumPy: Arrays, mathematical operations
Data visualization using Matplotlib & Seaborn
π Project: Exploratory Data Analysis (EDA) on real dataset
SQL basics: SELECT, JOIN, GROUP BY, Subqueries
Advanced queries and data aggregation
MySQL / PostgreSQL hands-on
π Project: Analyze business KPIs using SQL
Descriptive statistics, probability, hypothesis testing
Correlation, regression basics
Excel dashboards & pivot tables
π Project: Customer churn analysis report using Excel & Python
Power BI: Data loading, cleaning, DAX basics
Tableau: Charts, filters, dashboards
Connect to live data sources
π Project: Create interactive dashboards for business insights
π Capstone Project: End-to-end data analysis (e.g., sales trends, user behavior, etc.)
Resume, LinkedIn & GitHub Portfolio Building
Mock Interviews & HR Screening
π Certification: Data Analytics with Python
Python, Pandas, NumPy, Matplotlib, Seaborn, SQL, Excel, Power BI / Tableau, Jupyter, Git
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4+ Hands-on Projects
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Certification + Resume Help
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Placement Support
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Interview Readiness + Portfolio Setup
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