Career Focused Intermediate
Data Analytics with Python
Real-World Data Analysis, EDA & Visualization using Python
8 weeks 8 Modules Weekend Batch 190+ enrolled
About This Course
Learn how to analyze real-world data using Python through practical workflows including cleaning, transformation, EDA, and visualization.
Python for data analysisNumPy & PandasData cleaning & transformationExploratory Data Analysis (EDA)Data visualization (Matplotlib, Seaborn)End-to-end data workflows
What You'll Achieve
Analyze and interpret real datasets
Perform data cleaning and transformation
Build impactful visualizations
Solve real-world business problems using data
Create portfolio-ready projects
Course Curriculum
Week 1
Python for Data Analytics (Quick Foundation)
- Python essentials for data analysis
- Working with Jupyter Notebook
- Data structures (lists, dictionaries, tuples)
- Functions & basic operations
- Introduction to analytics workflow
Week 2
NumPy for Data Processing
- Introduction to NumPy
- Arrays & vectorized operations
- Indexing, slicing, reshaping
- Mathematical operations on datasets
- Performance advantages of NumPy
Week 3
Pandas - Data Handling
- Introduction to Pandas
- Series & DataFrames
- Importing data (CSV, Excel, APIs)
- Exploring datasets
- Filtering & selection
Week 4
Data Cleaning & Preparation
- Handling missing values
- Removing duplicates
- Data type conversions
- Feature engineering (binning, encoding)
- Data transformation techniques
Week 5
Exploratory Data Analysis (EDA)
- Understanding data distributions
- Summary statistics
- Correlation & relationships
- Grouping & aggregation
- Identifying patterns & trends
Week 6
Data Visualization with Python
- Matplotlib & Seaborn basics
- Creating charts (bar, line, scatter, histogram)
- Data storytelling using visuals
- Customizing plots
- Best practices for visualization
Week 7
Advanced Analysis & Real-World Scenarios
- Working with large datasets
- Applying functions across datasets
- Time series basics
- Business problem-solving with data
- End-to-end analysis workflows
Week 8
Case Studies & Projects
- Real-world data analysis project
- Data cleaning → analysis → visualization
- Business insights generation
- Project presentation & storytelling
- Portfolio-ready project
Who Is This For?
Students building data analysis skills
Professionals transitioning into analytics
People with basic Python knowledge
Aspiring data analysts
Meet Your Instructor
What Our Students Say
“I had a highly positive experience completing the SQL course with AnalyticShala. The instructor is very knowledgeable, clear and responsive, ensuring an engaging and effective learning experience.”
SameerData Analyst @ Infosys
“I recently took Data Analytics using Python classes with AnalyticShala, and my experience was exceptional. The course provided a deep and practical understanding of the subject.”
NehaManager @ Genpact