Python for Data Analytics
This program focuses on equipping participants with Python
programming skills specifically tailored for data analysis and insight generation.
You will master essential libraries such as Pandas, NumPy, and Matplotlib to
effectively clean, manipulate, and visualize data. The course also builds practical
skills in statistical analysis and reporting, preparing you for real-world data
challenges.
₦200,000
Nigeria
$133.33
International
5 Weeks
Duration
- Virtual Classes (specific days/times to be confirmed upon registration).
Curriculum Breakdown
Python is a versatile and powerful language in data
science. Gain hands-on experience with industry-standard libraries to unlock
deep insights from data.
1
Python Fundamentals for Data Science
- Introduction to Python (Variables, Data Types, Operators)
- Control Flow (If/Else, Loops)
- Functions and Modules
- Working with Lists, Tuples, Dictionaries, Sets
2
NumPy for Numerical Computing
- Introduction to NumPy Arrays
- Array Operations and Broadcasting
- Indexing and Slicing NumPy Arrays
- Mathematical and Statistical Functions with NumPy
3
Pandas for Data Manipulation
- Introduction to Pandas DataFrames and Series
- Loading Data (CSV, Excel)
- Data Selection and Indexing
- Data Cleaning: Handling Missing Values, Duplicates
- Data Transformation: Merging, Joining, Concatenating DataFrames
4
Data Visualization with Matplotlib & Seaborn
- Introduction to Matplotlib
- Creating Various Plots (Line, Bar, Scatter, Histogram)
- Customizing Plots and Subplots
- Introduction to Seaborn for Enhanced Visualizations
- Storytelling with Data Visualizations
5
Exploratory Data Analysis & Case Study
- Performing Exploratory Data Analysis (EDA)
- Basic Statistical Analysis using Python (Descriptive Statistics)
- Introduction to Scikit-learn (Basic Machine Learning concepts)
- End-to-End Data Analysis Project in Python
Job Opportunities
- Data Analyst
- Data Scientist (entry-level),
- Business Analyst
- Python Developer (with a data focus).
Enroll Now to get Started
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