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Python For Datascience

Python is one of the most popular programming languages for high-level data processing, due to its simple syntax, easy readability, and easy comprehension.

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Applications are currently Open

Duration

8 WeeksSat & Sun

Start Date

27th October, 2025

Level

Beginner

Prerequisites

A Laptop

Projects

1 Project

Cost

₦400,000 ₦350,000

Python is one of the most popular programming languages for high-level data processing, due to its simple syntax, easy readability, and easy comprehension.

Python’s learning curve is low, and due to its many data structures, classes, nested functions and iterators, besides the extensive libraries, this language is the first choice of data scientists for analyzing, extracting information and making informed business decisions through big data.

This course will quickly teach you the fundamental data science programming tool (Python). However, it requires no prerequisite knowledge so you can get started right away.

The Data Science course path will guide you through what you need to know to start a career as a Data Scientist from the ground up.

If you opt for Data Science programming with Python, you’ll delve into the essential Python programming fundamentals, covering data structures, variables, loops, and functions. Explore the world of specialized data libraries for Python, including Pandas and Numpy, empowering you with advanced tools for efficient data manipulation and analysis. Navigate version control with Git and the terminal, gaining the skills to organize and share your work seamlessly.

‘Additionally, our program introduces you to the exciting realm of Machine Learning, providing insights into its principles and applications. This enhancement equips you with cutting-edge skills to tackle real-world challenges and elevate your proficiency in data science.

Embark on a comprehensive learning journey, where Python, data libraries, version control, and Machine Learning converge for a dynamic educational experience.

Basic Computer Knowledge
No Prior Programming skills need
Laptop Specifications(8gb -16gb RAM, 256SSD or 500gb)
Willingness to learn

WEEK 1

Introduction to Python

Basic programming terms
Introduction of Python and its interpreter
Areas of application of Python programming language
Installation of necessary tools
Getting started with Anaconda and
Jupiter Notebooks

Variables and Data

Python syntax
Variable assignment
Simple operation
DataTypes and types conversion
Data Structure

WEEK 2

Flow Control Statements

Conditional Statements
- If/Elif and Else Statements
- List comprehensions
Iterations/Looping
- For Loop and While Loop

Functions and Method

Function declaration and calling
Return statement
Function arguments
Function nesting
Recursion, how and when to use
Lambda functions

WEEK 3

Introduction to NumPy

Understanding Data Types in Python
The Basics of NumPy Arrays
Computation on NumPy Arrays: Universal Functions
Aggregations: Min, Max, and Everything In Between
Computation on Arrays: Broadcasting
Comparisons, Masks, and Boolean Logic
Fancy Indexing
Sorting Arrays
Structured Data: NumPy’s Structured Arrays

WEEK 4

Pandas

Introducing Pandas Objects
Data Indexing and Selection
Operating on Data in Pandas
Handling Missing Data
Combining Datasets: Concatenating and Append
Combining Datasets: Merge and Join
Aggregation and Grouping
Data Analysis

WEEK 5

Data Visualization

Simple Line Plots
Customizing Plot Legends
Customizing Colorbars
Customizing Matplotlib: Configurations and Stylesheets
Simple Scatter Plots
Histograms, Binnings, and Density
Bar Plot
Count Plot
Box Plot
Pair Plot
Heat map
Visualisation with Seaborn
Data Analysis Project

WEEK 6

Machine Learning

Introduction to Machine Learning
- Supervised Machine learning
- Unsupervised Machine learning
Machine Work Flow
Introduction to Scikit Learn Library
Data Preprocessing
- Numerical
- Categorical

WEEK 7

Machine Learning (Regression)

Evaluation Metrics
- Regression
Linear regression: predicting continuous target variables

Machine Learning (classification)

Evaluation Metrics
- Classification
Logistic regression: predicting binary categorical outcomes

WEEK 8

PROJECT REVIEW

Emmanuel Obute

Co-Founder/CTO
peppa Techstars ’22

Solomon Promise

Machine Learning Engineer
Zummit Africa

Ajuyah Tosan Omatsola

Process Engineer
Prima Corporation Limited

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Come with expectations

100% Live Online Classes

You’ll be taught and mentored by some of the best teachers in the industry.

100% Instructor-Led classes

You will be taught & mentored by Industry expert.

Certificate

Get your very own physical certificate to prove your participation

Support System

Become part of an ever-growing, supportive community of like minds

Hands on Assignment

Grow with individual assignment feedback from your instructor.

Community Discussion

In app forum to collaborate with your peers.

Project Based Training

An hands-on approach to horn the skill you have learnt.

Success Stories

Grace

UX designer at Cowrywise

Training with Univelcity is one of the best things that happened to my career. I got useful skills and knowledge to help me understand the field of product design.

Jehonadab

Software Developer

Seizing the opportunity to take a class at univelcity was the head start I needed in my career. Almost 3 years down the line, and I think this is my best career investment yet.

Uchechukwu

Data Analyst

As an alumnus of Univelcity, learning PRODUCT DESIGN and PYTHON FOR DATA SCIENCE was one of the best decisions I have made in building a career.

Faith

Data Scientist at BudgIT

I got an internship job with BudgiT where I currently grow the skill I was so dutifully taught. I am delighted to have learned this skill at such a wonderful place as Univelcity.

Damilola

Data Analyst

I didn’t only learn concepts that got me grounded as a Data Scientist. I also received mentorship which further positioned me for life and career growth.

FAQs

Our programs are held physically with an option of online learning. If you are interested in our online programs click here.

A typical program at Univelcity runs for 3 Months, while our Fullstack program runs for 6 Months.

We are at No. 42 Montgomery Road, Yaba, Lagos (Adepate House).

Our evening classes are held online on weekends. This class is structured best to suit individuals who have busy weekdays.

Yes, you can. To join the waiting list, kindly apply for your desired course and get to let us know which cohort you intend to enroll for. We will get in touch with you.

You will see the dates for our next cohorts on your desired course of interest page. Feel free to reach out to us should you require clarifications. We will be happy to answer any questions and get in touch with you as soon as applications are open for another cohort.

Yes, you can. Our programs are beginner friendly.

Yes, you will be requiring a laptop. All our classes are hands-on and very practical.

Visit our FAQ Page for more help