Data Science – Basic to Intermediate Level
Master Python, SQL, Machine Learning, Power BI, and AI Tools through live practical training, real-world projects, mock tests, and AI mock interviews. Perfect for students, beginners, and job seekers.
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About this Course
Data Science Training Program by Think Champ Pvt Ltd is designed for students, beginners, and job seekers who want to build a career in Data Science. Learn Python, NumPy, Pandas, SQL, Data Visualization, Machine Learning, Power BI, and AI Tools through a structured learning approach. The course includes live online classes, recorded sessions, practical assignments, and real-time projects. Students will also benefit from mock tests and AI mock interviews to enhance their skills and confidence. The training is completely practical and industry-oriented. Upon successful completion, participants will receive a Course Completion Certificate. Start your Data Science journey today at a special offer price of ₹149/- only. 🚀📊
What you'll learn
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Course Curriculum
- Intro to Data Science
- Python Installation
- Variables & Data Types
- Operators
- Input & Output
- Conditional Statements
- Loops
- Functions
- Strings
- Lists
- Tuples
- Sets
- Dictionaries
- Programs
- Introduction to NumPy
- Arrays
- Array Operations
- Indexing & Slicing
- Mathematical Functions
- Statistical Functions
- Real-Time Examples
- Introduction to Pandas
- Series & DataFrames
- Reading CSV & Excel Files
- Data Cleaning
- Handling Missing Values
- Filtering Data
- Sorting Data
- GroupBy Operations
- Merging Data
- Data Analysis Tasks
- Matplotlib
- Line & Bar Charts
- Pie Charts & Histograms
- Scatter Plots
- Seaborn
- Heatmaps
- Real-Time Visualizations
- Mean, Median & Mode
- Variance & Std Deviation
- Probability
- Correlation
- Data Distribution
- Business Use Cases
- Database Fundamentals
- MySQL Installation
- Creating Databases & Tables
- Insert / Update / Delete
- Select Queries
- Where Clause
- Order By & Group By
- Aggregate Functions
- Joins
- Practice Tasks
- Data Cleaning
- Missing Value Handling
- Encoding
- Feature Selection
- Feature Engineering
- Data Scaling
- Train-Test Split
- Intro to Machine Learning
- Types of ML
- Linear Regression
- Logistic Regression
- Decision Tree
- Random Forest
- KNN
- Model Evaluation
- Prediction Examples
- Introduction to Power BI
- Import Data
- Power Query
- Data Transformation
- Bar & Pie Charts
- Tables & Cards
- Filters & Slicers
- Dashboard Creation
- Introduction to AI
- ChatGPT for Data Science
- Prompt Engineering
- AI Tools for Analysts
- Sales Analysis Project
- Student Performance Project
- Customer Analysis Dashboard
Facilities Provided
Quick Info
- LevelIntermediate
- Duration72+ hours
- Learners3000+
- Rating★ 4.9
- Certificate✅ Yes
- Internship❌ No
- Placement❌ No