π 6-Week Intensive Python for Data Analysis Training β From Beginner to Pro!
Unlock the power of Python and data analytics in just 6 weeks with our structured, hands-on training designed to help you analyze, visualize, and interpret data like a professional β even with zero programming background!
π€ Payment Option
- Full Payment N60,000
- Instalment N40,000 advance payment and N20,000 balance payment
Whether you're a student, a career switcher, or a professional looking to upskill, this course is crafted to help you gain job-ready data analysis skills with real-world applications.
ποΈ Tentative 6-Week Training Breakdown
π Week 1: Python Basics & Data Structures
- Session 1: Intro to Python, Jupyter Notebook, Variables, Expressions, Data Types
- Session 2: Lists, Tuples, Dictionaries, Sets, Loops, Conditionals, Functions & Lambdas
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Exercises and practical tasks after every session
π Week 2: Data Handling with NumPy & Pandas
- Session 3: NumPy arrays, slicing, indexing, reshaping, mathematical operations
- Session 4: Pandas Series and DataFrames, loading CSV/Excel/JSON, filtering, pivot tables
π Week 3: Data Cleaning & Exploratory Data Analysis (EDA)
- Session 5: Handling missing data, duplicates, type conversion, function application
- Session 6: Data wrangling, merging datasets, grouping, sorting, and outlier detection
π Week 4: Data Visualization & Statistics
- Session 7: Matplotlib & Seaborn basics β histograms, bar charts, scatter plots, subplots
- Session 8: Descriptive statistics, correlation, regression, hypothesis testing, Plotly basics
π Week 5: Real-World Project + Advanced Concepts
- Session 9: Machine learning intro (using scikit-learn), model evaluation, web scraping basics
- Session 10: Introduction to SQL & NoSQL, database interaction, version control with Git/GitHub
π Week 6: Capstone Project & Course Review
- Session 11 & 12: Final real-world project, mentorship, presentation, and Q&A
π§° What You'll Gain
- Strong foundation in Python for data tasks
- Experience with top libraries: NumPy, Pandas, Matplotlib, Seaborn, Plotly, scikit-learn
- Hands-on data manipulation, cleaning, and visualization skills
- Ability to build projects and analyze real datasets
- Certificate of Completion + Portfolio Project
πΈ Pricing & Whatβs Included
- Full access to 12 instructor-led sessions
- Downloadable class materials & notebooks
- Exercises, quizzes, and a final project
- 24/7 instructor support via private community
- Access to session replays for revision
π₯ Who Should Enroll?
- Students & NYSC members
- Career switchers into tech/data
- Business analysts & marketers
- Freelancers & aspiring data scientists
π£ Limited slots available!
This is more than a course β itβs a transformation. By the end of 6 weeks, youβll be confident in analyzing, visualizing, and communicating data insights.
π Ready to get started? Enroll now and turn your passion for data into a profitable skill.