IntermediateDevelopment
Data Analysis with Python
Become a data analyst using Python. Master Pandas, NumPy, data visualization, and statistical analysis. Work with real datasets and create compelling data stories. Perfect for those looking to transition into data analytics roles.
4.8
1560 students
4 weeks
Anjali Verma
Data scientist with expertise in Python and machine learning
₹7,000
Lifetime access
8 live classes
Jupyter notebook tutorials
Datasets for practice
Certificate of completion
Career transition support
What you'll learn
Python programming basics
Pandas for data manipulation
NumPy for numerical computing
Data visualization with Matplotlib
Statistical analysis
Data cleaning techniques
SQL for data analysis
Real-world data projects
Course Curriculum
Week 1
Python Fundamentals
Introduction to PythonVariables and Data TypesLists, Tuples, DictionariesControl Flow (If/Else, Loops)Functions in PythonLive Class: Python BasicsFile HandlingWeekly Task: Data Processing Script
Week 2
Data Manipulation with Pandas
Introduction to PandasDataFrames and SeriesData Loading (CSV, Excel)Data Cleaning TechniquesData Filtering and SelectionLive Class: Pandas WorkshopGrouping and AggregationWeekly Task: Clean and Analyze Dataset
Week 3
Data Visualization
Introduction to MatplotlibLine and Bar ChartsHistograms and Scatter PlotsSeaborn for Statistical PlotsCustomizing VisualizationsLive Class: Visualization DemoInteractive Dashboards with PlotlyWeekly Task: Create Data Dashboard
Week 4
Advanced Analysis
Introduction to NumPyStatistical Analysis BasicsSQL for Data AnalysisWorking with APIsData Analysis Best PracticesLive Class: Real-World Case StudyPresenting Data InsightsFinal Project: Complete Data Analysis Report
Student Success Stories
"This course exceeded my expectations. Anjali Verma made complex topics easy to understand."
Arjun Patel
Data Analysis with Python Graduate
"Best investment in my professional development. The practical projects were invaluable."
Neha Sharma
Career Switcher