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Data Analyst Fast-Track (Hands-On Bootcamp)
Already know the basics? This hands-on bootcamp helps you sharpen your Python, SQL, and analysis skills through real projects and guided practice.
Short, skill-focused, high-volume
Level: Intermediate
Prerequisite: Basic knowledge of Python, Excel, or data analytics
Duration: Associate Data Scientist in Python:90 hours,associate Data Analyst in Python/SQL: ~85–90 hours self-paced
Format: Hands-On Labs + Live Coding Sessions
Powered by: DataCamp Career Tracks. DataCamp certification exam available on completion
Start Date:
Seats: Limited to 20 learners
Python (Pandas, NumPy)
SQL (PostgreSQL / MySQL)
Jupyter Notebooks
Data visualization libraries
By the end of this program, you will:
Write efficient Python code for real data analysis
Perform advanced SQL queries (JOINs, aggregations)
Clean, transform, and analyze complex datasets
Conduct exploratory data analysis (EDA)
Generate insights that support real business decisions
Advanced Python notebooks
SQL-based data projects
Cleaned & structured datasets
Portfolio-ready analysis projects
This program prepares you for:
Data Analyst roles
Business Intelligence Analyst
Reporting Analyst
Freelance data projects
Weeks 1–2: Advanced Python for Data
Data manipulation with Pandas
Handling large datasets
Data transformation techniques
Weeks 3–4: SQL for Analysis
Complex queries (JOINs, GROUP BY, subqueries)
Query optimization basics
Working with real databases
Weeks 5–6: Analysis & Insights
Exploratory Data Analysis (EDA)
Identifying trends and patterns
Business-focused data interpretation
Weeks 7–8: Real Projects
Analyze real datasets (finance, SME, or NGO data)
Build portfolio-ready projects
Present insights professionally
Career Accelerator
Apply Now — Limited Seats for Advanced Cohort
Guided Programs. Cohort Training. Enterprise Training
Learn concepts. Build skills. Apply to your Job/ business. Grow sustainably
Step 1: Learn
Access practical, market-relevant training designed for real-world application.
Step 2: Apply
Work on real challenges, case studies, and tools that translate learning into action.
Step 3: Grow
Leverage skills to unlock opportunities—employment, enterprise growth, and partnerships.
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