Data Analysis with Python
Learn data analysis and visualization using Python libraries. Transform raw data into actionable insights. Best course for beginners to start their data science journey with Python.
40 hours
Duration
Intermediate
Level
Live
sessions
₹9,999
Price
High Demand
Data Science Skills
Course Overview
What You'll Learn
- NumPy for numerical computing
- Pandas for data manipulation and analysis
- Data visualization with Matplotlib and Seaborn
- Pandas built-in data visualization
- Time series analysis with Pandas
- Exploratory Data Analysis (EDA) techniques
- Case Studies
Prerequisites
- Basic Python programming knowledge
- Understanding of basic statistics
- Familiarity with Excel or similar tools
Career Opportunities
- Data Analyst
- Business Intelligence Analyst
- Data Scientist
Course Curriculum
Week 1-2
Numpy and Pandas Basics
- Jupyter Notebook environment setup
- Array Creation, printing arrays
- Array Operations, Indexing, Slicing
- Numpy Functions and Methods, Array Broadcasting
- Introduction to Pandas
- Data Structures: Series and DataFrame
- DataFrame Operations: Indexing, Slicing, Filtering
- DataFrame Functions and Methods
- Handling CSV and Excel files with Pandas
- Pandas built-in data visualization
Week 3
Data Cleaning and Preprocessing
- Handling missing data and outliers
- Data transformation and manipulation
- String manipulation and regex
- Data merging and joining techniques
- Time series analysis with Pandas
Week 4
Data Visualization Libraries
- Data visualization with Matplotlib
- Advanced plotting with Seaborn
- Interactive visualizations with Plotly
Week 5-6
EDA and Case Studies
- Exploratory Data Analysis (EDA) techniques
- Case Studies
Free Learning Resources
Get started with our free video tutorials and learn the basics before enrolling in our comprehensive courses.
06:41
Python Basics
Learn Python fundamental concept - Variables & Memory Management
YouTube
10:09
Advanced concepts in Python
Shallow copy & Deep copy
YouTube
06:43
Loops in Python
for loop
YouTube