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Data Science Training in Bangalore — Python, Pandas, Statistics, ML & Data Visualisation
Become a data scientist — Python for data analysis, NumPy, Pandas, Matplotlib, Seaborn, SQL, statistics, machine learning algorithms, feature engineering and end-to-end data science project delivery with real business datasets.
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Skills You Will Master
Hands-on skills taught by working professionals with real MNC project experience.
Course Curriculum
6 structured modules with theory, hands-on labs and live projects.
01 Python for Data Science · 5 topics
- NumPy Arrays & Matrix Operations
- Pandas DataFrames & Series
- Data Cleaning & Missing Values
- Merging, Grouping & Aggregation
- Time Series Data Handling
02 Statistics & Probability · 5 topics
- Descriptive Statistics
- Probability Distributions
- Hypothesis Testing (t-test, chi-square)
- Correlation & Regression
- A/B Testing
03 Data Visualisation · 5 topics
- Matplotlib & Seaborn
- Plotly Interactive Charts
- Power BI for Data Scientists
- Tableau Basics
- Storytelling with Data
04 SQL for Data Science · 5 topics
- Advanced SQL Queries & Joins
- Window Functions & CTEs
- Data Aggregation & Pivoting
- BigQuery & Cloud Databases
- SQL + Python Integration
05 Machine Learning for DS · 5 topics
- Supervised & Unsupervised Learning
- Feature Engineering & Selection
- Model Evaluation Metrics
- Scikit-learn Pipelines
- Cross-Validation & Hyperparameter Tuning
06 Capstone & Job Prep · 5 topics
- End-to-End DS Project (Kaggle Dataset)
- Business Problem to Insight
- Data Science Portfolio Building
- Resume & LinkedIn Optimization
- DS Interview Preparation
Tools & Technologies
Career Roles You Can Target
Data Scientist
Data Analyst
Business Intelligence Analyst
Analytics Engineer
Data Science Consultant
ML Engineer (Entry)
Industry Certifications
- IBM Data Science Professional Certificate
- Google Data Analytics Certificate
- Microsoft Certified: Azure Data Scientist Associate (DP-100)
Frequently Asked Questions
What is the difference between Data Science and Machine Learning?
Data Science covers the entire pipeline — data collection, cleaning, analysis, visualisation and modelling. Machine Learning is the modelling/algorithm part within Data Science.
What salary does a data scientist earn in Bangalore?
Junior data scientists earn ₹7–12 LPA. Mid-level earn ₹15–28 LPA. Senior data scientists at MNCs earn ₹35–60 LPA.
Do I need a maths background for data science?
Basic statistics and algebra are covered in the course. You need logical thinking — not a maths degree. Many successful data scientists come from non-maths backgrounds.
What tools will I learn?
Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, Tableau, Matplotlib, Seaborn, Plotly and Jupyter Notebooks — the full modern data science toolkit.
Will I work on real datasets?
Yes — every module uses real industry datasets. The capstone project uses a full business case with messy, real-world data — exactly what interviewers test.
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Our counsellor will contact you within 30 mins with syllabus, batch dates & fees.
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