Data Analysis BootcampLearn Python · SQL · Visualization · Analytics
Master the foundations of data cleaning, analysis, and visualization — with real mentorship and portfolio-driven learning. Beginner-friendly, flexible, and designed for real results.
Why Learn Data Analysis?
Data analysts help companies understand customers, optimize operations, and make smarter decisions. It's one of the most beginner-friendly tech roles — remote-friendly, well paid, and in constant demand across every industry.
What You’ll Learn (Beginner → Confident Analyst)
Python for Data Analysis (Beginner-Friendly)
Data Cleaning & Transformation with Pandas
SQL Queries, Aggregations & Joins
Visualization with Matplotlib & Seaborn
Exploratory Data Analysis (EDA) Techniques
Storytelling with Data & Portfolio Projects
Who This Bootcamp Is For
- Beginners entering tech with no coding background
- Career switchers exploring data paths
- Analysts ready to upgrade from Excel to Python/SQL
- People preparing for data science or BI roles
Curriculum Overview (Mastery-Based)
Milestone 1
Intro to Python, Jupyter Notebooks & analysis mindset.
Milestone 2
Data cleaning, missing values, transformations & Pandas workflows.
Milestone 3
SQL queries, JOINS, filtering, aggregations & database fundamentals.
Milestone 4
Visualization (Matplotlib, Seaborn) + Exploratory Data Analysis.
Milestone 5
Capstone Project: Analyze a real dataset & derive insights.
Milestone 6
Portfolio development, GitHub setup & career guidance.
Move forward only when you’re confident. Mastery-first. No rushing.
Projects You’ll Build
Build practical data projects that prove your skills to employers — from cleaning messy datasets to analyzing business patterns.
Data Cleaning & Transformation Challenge
Work with a messy real dataset. Fix missing values, correct inconsistencies, standardize formats, and prepare it for analysis using Pandas.
SQL Business Insights Dashboard
Use SQL queries to answer real business questions: revenue trends, customer behavior, segmentation, and operational performance.
Exploratory Data Analysis + Visual Report
Perform EDA using Python visualizations, uncover trends, outliers, and correlations. Present findings in a clean, professional portfolio report.
Meet Your Mentor
Learn from an experienced data analyst who's worked across fintech, healthcare, and consumer tech. Get practical insights and real professional guidance.
Your Data Mentor
6+ years in analytics & BI. Focused on helping beginners build confidence and clarity with data.
“Good analysis is clarity — not just code.”
Flexible Learning
Learn evenings, weekends, or slowly over months — your mentor adapts to your schedule. No deadlines. No pressure.
What Makes Studira Different
1-on-1 personalized mentorship
Feedback on every project
Portfolio-focused training
Beginner-friendly approach
Mastery over memorization
Supportive and human-centered
Become a Confident Data Analyst
Learn practical skills, build real projects, and launch your data career with personal mentorship and a mastery-first approach.
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