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Data Science (Professional Diploma) — Codar Tech Africa
Data

Data Science

Earn a Professional Diploma Certificate

Develop professional data science skills by learning data analysis, statistics, machine learning, data visualization, and predictive modeling using industry-standard tools and techniques. Through hands-on projects and real-world datasets, learners will gain the expertise to extract insights, solve complex problems, and support data-driven decision-making.

200+ enrolled 26 weeks Beginner – Advanced English Virtual
Codar Tech Africa campus
Our Campus

About this course

Develop professional data science skills by learning data analysis, statistics, machine learning, data visualization, and predictive modeling using industry-standard tools and techniques. Through hands-on projects and real-world datasets, learners will gain the expertise to extract insights, solve complex problems, and support data-driven decision-making.

What you'll learn

Practical, job-ready technical experience
Exposure to real-world industry workflows
Confidence in building modern digital solutions
Mentorship from experienced professionals
Collaborative and project-based learning experience
Strong foundation for career growth in tech
Portfolio projects that demonstrate your capabilities
Professional development and workplace readiness skills

Who this course is for

  • Career switchers — bankers, teachers, marketers wanting to enter tech
  • Primary/Secondary Students, NYSC corps members & recent graduates
  • University students wanting practical skills before graduation
  • Self-taught devs ready to formalise & level up their skills
  • Working professionals targeting remote/freelance income in foreign currency

Requirements

  • A laptop (Windows, Mac or Linux) with at least 4GB RAM
  • Reliable internet connection (3G, 4G, 5G mobile data is fine)
  • 10–15 hours per week to dedicate to learning
  • No prior coding experience needed — we start from zero

Course curriculum

26 weeks · 48 classes · 208 hours of live lessons · portfolio projects

  • Introduction to Database
  • Understanding Databases
  • What is DBMS?
  • Why Use SQL?
  • Common Practice in Writing SQL Queries
  • Types of SQL Commands
  • SQL Basics
  • SELECT
  • WHERE
  • AS
  • ORDER BY
  • GROUP BY
  • HAVING

  • SQL Intermediate
  • SQL Joins
  • CASE Statement
  • SQL Functions

  • SQL Advance
  • Sub Queries
  • Window Functions
  • SQL CTEs

  • Data Modelling
  • SQL DDL
  • CREATE
  • DROP
  • SQL Datatypes
  • SQL Keys
  • SQL Views
  • SQL Stored Procedures

  • Data Cleaning with SQL
  • Handling Missing Data
  • Removing Duplicates
  • Standardizing Data
  • Parsing and Transforming Strings
  • Data Type Conversion

  • Exploratory Data Analysis with SQL
  • SQL Optimization

  • Basics Python for data science
  • setup and installation
  • Operators
  • Variables and data types
  • Indexing and Slicing

  • Data Structures in Python
  • Tuples
  • Sets
  • Dictionaries
  • Methods

  • Control Flow
  • Loops
  • Lists and List Comprehension

  • Functions
  • Functions and Parameters
  • Lambda Functions
  • Useful Built-in Functions

  • Functions
  • Functions and Parameters
  • Lambda Functions
  • Useful Built-in Functions

  • File Handlings
  • Handling Errors
  • Exception Handling
  • Connecting to Database
  • SQLITE
  • MYSQL

  • Object-Oriented Programming (OOP)
  • Classes and Objects
  • __init__ constructor
  • Instance vs Class Variables
  • Methods
  • Inheritance
  • Encapsulation and simple real-world examples

  • Data Collection
  • Web Scraping
  • APIs
  • Web Scraping with requests and BeautifulSoup
  • Working with APIs using requests

  • Statistics for Data Science Part 1
  • Statistics and its types
  • Data Types and Measurement levels
  • Random Variable Data type
  • Descriptive Statistics
  • Measure of Central Tendency
  • Measure of Dispersion
  • Frequency Distribution
  • Propability distribution

  • Statistics for Data Science Part 2
  • Skewness
  • Kuetosis
  • Graphical Representation
  • Histogram Plot
  • Box Plot
  • Bar Chart
  • 5 Number Summary
  • Detecting Outliers
  • Removing Outliers
  • Hypothesis Testing

  • Numerical Python with Numpy Library
  • Introduction
  • Creating Numpy Array
  • Array Datatypes
  • Array Manipulation
  • Data Manipulation with Pandas Library
  • Pandas DataFrame and Series
  • Reindexing
  • Iteration
  • Sorting
  • Aggregation
  • GroupBY
  • Merging/Joining
  • Concatenation
  • Filtering
  • Descriptive Statistics
  • Removing Duplicates
  • String Manipulation
  • Missing Data Handling

  • Data Visualization
  • Introduction to Matplotlib
  • Basic Plotting
  • Properties of plotting
  • About Subplots
  • Line plots
  • pie chart and Bar Graph
  • Histograms
  • Box and Violin Plot
  • Scatterplot
  • Seaborn Library

  • Exploratory Data Analysis (EDA)
  • Uni - Variate Analysis
  • Bi - Variate Analysis
  • Multi-Variate Analysis
  • More on Seaborn Based Plotting

  • Exploratory Data Analysis (EDA)
  • Uni - Variate Analysis
  • Bi - Variate Analysis
  • Multi-Variate Analysi
  • Time-Series Analysis

  • GIT/GITHUB
  • Installation
  • Introduction to Git & Github
  • Getting started on GitHub
  • Local Repository Workflow
  • Creating a Git repository
  • Creating and editing files
  • Adding files to your Git repository

  • Create a GitHub repo
  • Git Push
  • Git Pull
  • Understanding Branches
  • Working with Branches
  • Pull Requests
  • Merging and Pull Requests
  • The General Workflow

  • • Introduction to Machine Learning • Types of Machine Learning: Supervised Versus Unsupervised Learning • Simple Linear Regression • Estimating the Coefficients • Assessing the Intercept and Coefficient Estimates

  • • Multiple Linear Regression •Estimating the Regression Coefficients • OLS Assumptions • Multicollinearity • Feature Selection

  • Decision Trees (Rule Based Learning)

  • •EnsembleMethodsinTreeBasedModels•WhatisEnsembleLearning?•WhatisBootstrapAggregationClassifiersandhowdoesitwork?•RandomForest•Whatisitandhowdoesitwork?•VariableselectionusingRandomForest•Boosting:AdaBoost
  • GradientBoosting•Whatisitandhowdoesitwork?•HyperparameterandPro'sandCon's

  • • Classification Techniques • An Overview of Classification • Difference Between Regression and classification Models. • Logistic Regression • Logistic Regression • Evaluation Metrics for Classification Models

  • • DISTANCE BASED MODULES • K Nearest Neighbors • How does the KNN algorithm work? • How do you decide the number of neighbors in KNN?

  • • Support Vector Machines • Hard and Soft Margin Classification • Classification with Non-linear Decision Boundaries • Kernel Trick • Tuning Hyper parameters for SVM

  • • Unsupervised Learning • Why Unsupervised Learning • How it Different from Supervised Learning • The Challenges of Unsupervised Learning • Principal Components Analysis• K-Means Clustering

  • Introduction of Deep learning
  • Understanding Basic Neural Networks
  • AI vs ML vs DL
  • Artificial Neural Networks (ANNs)
  • Single-layer Perceptron (SLP)
  • Multi-layer Perceptron
  • Activation functions e.g Sigmoid Relu etc
  • Forward & Backward Propagation
  • Optimization functions
  • Learning Rate

  • Pytorch Framework
  • basic syntax
  • Tensors
  • Datatypes
  • Operations
  • Aggregate Functions
  • Indexing
  • Tensors on GPU

  • Pytorch Workflow Fundamentals
  • Neural Network for Regression
  • Neural Network for Classification
  • Build and train a simple fully connected NN on a toy dataset (e.g. XOR or Iris)
  • Evaluation metrics
  • accuracy
  • precision
  • recall
  • F1
  • Train/val/test splits
  • Model saving/loading (torch.save / torch.load)

  • Computer Vision with CNNs
  • CNN layers
  • Train a CNN on MNIST or CIFAR-10
  • PytorchDataLoader
  • transforms
  • TorchVision datasets

  • Natural Language Processing (NLP)
  • Applications and Techniques
  • Applications
  • Text Processing
  • Tokenizaton
  • Lemmatization
  • Stop Words
  • Vectorization
  • TF-IDF Vectorization

  • Sentimental Analysis
  • Transformers and LLM
  • Hugging Face

  • An Introduction to Power BI
  • The Building Blocks of Power BI
  • The Power BI Desktop Interface
  • Connecting to Data Sources with Power BI Desktop
  • Viewing All Connection Options
  • Managing Data Sources
  • Power BI workflow

  • Creating a Report with Visualizations
  • Interacting with Visualizations
  • Doing More with Visualizations
  • Changing the Visualization Type
  • Formatting Visualizations
  • Viewing Visualization Data
  • Creating Custom Dashboard

  • Data Loading and Data Transformation (Power Query Editor)
  • Removing nulls
  • renaming columns
  • filtering rows
  • Merging and appending queries (Joins)
  • Changing data types

  • Data Modeling and Relationships
  • Data modeling concepts: primary & foreign keys
  • Star schema vs Snowflake schema
  • Fact and Dimension Table
  • Managing Relationships
  • Using the Relationships

  • What is DAX?
  • Creating a New Table
  • Creating a New Calculated Column
  • Creating a New Measure
  • Managing Relationships
  • Using the Relationships View
  • Creating Relationships
  • Editing Relationships
  • Deleting Relationships
  • Using the Manage Relationships Dialog

  • Continuation on DAX (Part 2)
  • Creating Interactive Dashboards
  • Publishing
  • Capstone Project

  • Capstone Project and Examination

  • Capstone Project and Examination

  • Capstone Project and Examination

  • Capstone Project and Examination

  • Capstone Project and Examination

  • Capstone Project and Examination

Frequently asked questions

No. We start from absolute zero and build up gradually. As long as you can use a computer and you're committed to 10–15 hours/week, you'll succeed.

Both options are available. Pick from live online cohorts, our any of Physical campuses — It's the same content and certificate either way.

Yes. We offer part-payments — that can be split. Talk to admissions for tailored plans.

Yes, we provide internship and job placement support including CV review, mock interviews and direct introductions to several hiring partners. 85% of our graduates land a tech role within 6 months.

Yes — every graduate receives an official Codar Tech Africa certificate, recognised by employers across Africa. We also offer professional certifications from partners like : American Council of Training and Development, UK International Qualifications, etc. We also prepare students for global certifications like AWS Certified, Google Cloud, Meta certifications and CompTIA Security+.

All live classes are recorded and uploaded to your student portal within 24 hours, so you can always catch up. You'll also have access to your assigned mentor for any questions you have outside of class hours.
Certification

A certificate that means something

Sample Codar Tech Africa certificate

Sample certificate of completion

Certified in partnership with

Every graduate receives a globally recognised certificate, backed by our accredited partners.

Codar Tech Africa graduate holding their certificate
Codar Tech Africa graduate holding their certificate
Codar Experience

Hear it from our students

Success Stories

Real students. Real careers. Real impact.

From corps members to professionals, market traders to medical doctors — see how Codar Tech Africa graduates are rewriting their futures.

"I joined Codar straight after NYSC with zero coding experience. Within 6 months I had a frontend role at a Lagos fintech earning ₦450k/month. The instructors were incredible — Codar literally changed my life."

Damilola Adetokunbo
Damilola Adetokunbo
Frontend Developer at Flutterwave

"As a 38-year-old banker, I was nervous about switching careers. Codar's flexible online classes and patient mentors made it possible. I'm now a Data Analyst at GTBank — and earning more than I ever did in my old role."

Kunle Bankole
Kunle Bankole
Data Analyst at GTBank

"The UI/UX bootcamp was world-class. I now work with clients in the US, UK, Canada and across Africa from my Lagos apartment. Earning in dollars while paying my bills in Naira changed everything for my family."

Tobiloba Akinola
Tobiloba Akinola
Freelance UX Designer

"Codar's Cyber Security programme is intense — but worth every kobo. I'm now a Security Engineer at MTN Nigeria, working on systems that protect millions of customers. The hands-on labs prepared me for the real world."

Ibrahim Yusuf
Ibrahim Yusuf
Security Engineer at MTN

"I trained 22 engineers through Codar's corporate programme. ROI was visible within 3 months — better code quality, faster delivery and happier devs. I recommend them to every CEO I meet."

Dr. Yemi Adesokan
Dr. Yemi Adesokan
CTO, Lagos Health Tech Startup

"I'm 19 and still in university. Codar's evening classes fit perfectly with my schedule. By the time I graduate, I'll already have 2 years of paid freelance backend work under my belt. The platform pays for itself."

Blessing Okonkwo
Blessing Okonkwo
Student, University of Lagos
Why Codar

Why learners choose Codar Tech Africa

1. Live, expert instruction — not pre-recorded videos

Every Codar class is taught live by senior tech professionals with 7+ years of industry experience at firms like Microsoft, Flutterwave, MTN, and Andela. You can ask questions, get instant feedback, and learn from someone who's actually shipped what they're teaching.

2. Project-based learning — graduate with a portfolio

Theory is empty without practice. Every Codar student builds 8–12 real projects per course — e-commerce platforms, dashboards, security tools, ML models — work you can show employers on day one of your job hunt.

3. 1-on-1 mentorship from working engineers

Every student is paired with a personal mentor — a working engineer or designer who reviews your code, supports your growth, and helps you navigate your first tech job. This is rare in African tech education.

4. Real job placement, with 5+ hiring partners

We don't just teach you to code. We get you hired. Our career services team handles CV reviews, mock interviews, and direct introductions to our 5+ hiring partners — including GTBank, Flutterwave, Andela, and global firms.

5. Made for Africans — pricing, scheduling, examples

Our fees are in Naira with instalment plans. Our class schedules respect Nigerian work hours. Our case studies use Nigerian businesses. Our examples reference Nigerian banks. Everything about Codar is built with the African student in mind.

6. Codar certificate — recognised across the continent

Earn a Codar Tech Africa certificate trusted by employers. We also offer professional certifcations from American Council of Training and Development and UK International Qualifications. Also, we prepare students for global certifications: AWS Certified, Google Cloud, Meta, CompTIA Security+, and more.

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Students Trained

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Tech Courses Offered

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Job Placement Rate

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Hiring Partners

Our Campuses

See our facilities for yourself

A closer look at the spaces where you'll learn, build and grow.

An aerial look at our facilities — classrooms, workspaces and study areas built for focus.

Explore each location below
Student attending a live Codar Tech Africa class Live class preview on the Codar student portal
Online Sessions

Join live sessions from anywhere

Can't make it to a physical campus? Join our live virtual classes and get the exact same instruction, mentorship and certificate as our in-person cohorts — from wherever you are.

  • Live, interactive classes — not pre-recorded videos
  • Class recordings available if you miss a session
  • Same certificate and job placement support as physical cohorts
Enroll Now
Upcoming Cohorts

Don't miss your start date

New cohorts commence every month across both our online and physical campuses. Secure your spot today and take the next step toward your tech career.

Explore our wide range of professional courses, choose your preferred program, and follow the enrollment instructions to complete your payment and reserve a seat in your desired cohort.

Sep 2026
Online · Live · Hybrid
September · 2026 cohort
  • 2 Classes Per week
  • Mon-Sat Classes Available
  • Instalmental Payments available
Reserve My Seat
Oct 2026
Online · Live · Hybrid
October · 2026 cohort
  • 2 Classes Per week
  • Mon-Sat Classes Available
  • Instalmental Payments available
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Nov 2026
Online · Live · Hybrid
October · 2026 cohort
  • 2 Classes Per week
  • Mon-Sat Classes Available
  • Instalmental Payments available
Reserve My Seat
Career Outcomes

Where Codar graduates work

Our graduates work at Africa's most innovative companies and at global tech firms in the US, UK, Canada & Europe. With 85% job placement rate, you're not just learning — you're launching a career.

85%

Placement rate within 6 months

₦450k+

Average graduate starting salary

5+

Active hiring partner companies

Enrollment

Complete your enrollment in 2 simple steps

  1. Select one of the payment plans and fill in your details
  2. Transfer the requested amount into the account number generated.
  3. NOTE: After payment, you’ll be issued an admission letter and receipt. You’ll then be assigned to a cohort, and your class schedule will be shared with you.
Registration Fee

One Week Access

Full One Week Access To All Our Facilities.

5,000 / one-off
  • 7 Days Full Access To All Our Physical and Virtual Resources
  • Globally Recognised Certificate
  • Access To Physical and Virtual Classes
  • Student Portal (LMS)
  • Job Placement Assistance
  • Internship Placement Assistance
  • Mentorship
Enroll Now
Full Tuition

Unlimited Access

Uninterrupted Access To All Our Facilities.

370,625 / one-off
  • Globally Recognised Certificate
  • Access To Physical and Virtual Classes From Any Location
  • Student Portal (LMS)
  • Job Placement Assistance
  • Internship Placement Assistance
  • Mentorship
  • Uninterrupted Access and Support
  • Access To Alumni Network Partners
Enroll Now

Not sure which learning plan is right for you? Our admissions team will help you pick the best fit based on your schedule, location and learning style. +(234) 812 317 7763 · Talk to admissions →

FAQ

Frequently asked questions

No. We start from absolute zero and build up gradually. As long as you can use a computer and you're committed to 10–15 hours/week, you'll succeed.

Both options are available. Pick from live online cohorts, our any of Physical campuses — It's the same content and certificate either way.

Yes. We offer part-payments — that can be split. Talk to admissions for tailored plans.

Yes, we provide internship and job placement support including CV review, mock interviews and direct introductions to several hiring partners. 85% of our graduates land a tech role within 6 months.

Yes — every graduate receives an official Codar Tech Africa certificate, recognised by employers across Africa. We also offer professional certifications from partners like : American Council of Training and Development, UK International Qualifications, etc. We also prepare students for global certifications like AWS Certified, Google Cloud, Meta certifications and CompTIA Security+.

All live classes are recorded and uploaded to your student portal within 24 hours, so you can always catch up. You'll also have access to your assigned mentor for any questions you have outside of class hours.
5,000
Enroll Now