Data Science

Career Path

Data Science

Data-driven decision-making is the ultimate competitive advantage for businesses and governments worldwide. Data Science provides lucrative career opportunities that will continue to expand.

Industry analysis shows a 650% Data Science job growth since 2012, with an estimated 11.5 million new jobs projected by 2026. This course aims to provide students with the latest job-ready tools and skills, including open source tools and libraries. Learn data science through lectures and hands-on practice using real data science tools and real-world data sets.

What you will learn?


Introduction to Data Science

This session will introduce participants to Data Science. Some use cases, and an overview of its landscape (Open source software, infrastructure, databases, tools...) will be presented.


Introduction to Probability & Statistic + Explanratory Data Analysis (EDA)

A solid background on probability and statistics is essentially in analyzing and generating insights from data.


Regression, Classification Techniques & Dimension Reduction

Overview of techniques in data analysis such as regression, and clssification will be presented. Knowing when to use an approach is essential for a data scientist.


Data Mannipulation, Wrangling and Data Visualization in R

Accessing data reliably, and preparing it for use is very common in data science. This session will include Getting Data, Connecting R to database management systems, Profiling, Data Wrangling, Visualization.


Time Series Analysis

It is common to encounter time series datasets in real world problems. This session will provide an introduction to analyzing such datasets.


Intro to Statistical Learning: Supervised Learning

The Lectures on Statistical (or Machine) Learning will include: Decision Trees (Classification and Regression Tree, Random Forest, ....) , Recommender Systems, Boosting, Reinforcement Learning, Anomaly Detection, Natural Language Processing (Topic Modelling, Sentiment Analysis, Word Embedding,...), Neural Network, Convolutional Neural Network, Recurrent Neural Network,


Communication of results & how to build smart interactive apps.

How results are communicated is a must-have skill for data science practitioners.


Presentations of Data Science Project works by Students

This session will provide a space for students to present their data science project assignment.

Experiential learning with success-based pricing

Zero upfront tuition fee. You pay when you land a job or it's free for life.

Tuition fee


Learn in-demand digital skills at zero upfront tuition.

Weekly progress reports personalized to each learner.

Access to real projects and custom learning paths.

Uninhibited access to our interactive course framework.

Lifetime access to SFAN network and platforms.

Access to an exclusive community of peers across industries.

Dedicated coach support throughout your learning journey.

Custom resume at program completion and ongoing career support.

A verified certificate upon successful graduation from the program.

Program Schedule

program schedule
program schedule

6 Weeks

Bonus Courses

This track has complementary courses, such as Email Writing, Attention to Detail, Design Thinking and How to Apply for Digital Jobs.


  • Entry-Level
  • Mid-career Level

Must Have

  • Laptop and a stable internet connection.
  • If you don't have those, you must be able to come to our campus to study from our digital classroom (no cost attached).
  • Bachelor's degree in Computer science, Social sciences, or Statistics.

What You Get

  • Certificate of Completion
  • Lifetime Access to Course Materials
  • Coaching from Top-notch Professionals
  • Resume Rewriting & LinkedIn Profile Optimization
  • + much more

Re-inventing learning

Self-paced and collaborative

Work on real-world projects with interactive lessons, get step-by-step guidance, performance reports, and peer support to chart a course for your career.

Ongoing career coaching

Coaching is the oldest learning method where thought leaders quickly pass on their best practices and hacks to the Next-Gen.

Industry-driven pedagogy

We're bringing together the best of edtech, academia, and employment to help you prove your job readiness to prospective employers or turn your passion into a fulfilling career.


Learn from practitioners


Peter Addo

10+ years of Data Science experience.


Dolly Kpobi
" I will describe my ReadyforWork experience as impactful. As a recent graduate trying to navigate the job space, I've received the confidence boost I needed from the ReadyforWork digital career accelerator. I highly recommend ReadyforWork to individuals trying to find their feet in the job space. "

Dolly Kpobi,

UX/UI Designer

Girard  Boakye-Yiadom
" ReadyforWork cohort 4 has been a good experience and very insightful. I learned many things I didn't know that I thought I knew initially. I highly recommend this program to anyone who seeks a career in the digital space. "

Girard Boakye-Yiadom,

Digital Marketer

Diana Osei
" INVIGORATING! That is how I will sum up my ReadyforWork digital career accelerator program experience. Through the coaching sessions, curriculum and deliverables, I gained confidence in my ability to provide strategic direction for a company's products and services from a User Experience point of view. I highly recommend ReadyforWork career accelerator program to young professionals looking for result-oriented career guidance. "

Diana Osei,

UX/UI Researcher

Kezia O. Owusu-Ankomah
" I wish I was 18 when I saw ReadyforWork digital career accelerator. I've been in the media and arts industry for 12 years. And I developed a new interest in digital marketing. The best platform I found was ReadyforWork. I learned to believe in myself. I also learned how to use design thinking to drive innovation and essential social media marketing skills to drive sales, enhance audience engagement and build a community around a brand. If you are a young person looking to develop a new set of skills or want to complement your degree or practice, I recommend ReadyforWork digital career accelerator. "

Kezia O. Owusu-Ankomah,

Digital Marketer

Shelometh Ampah-Brown
" I participated in the SFAN ReadyforWork training in 2018 and it has been one of my greatest opportunities. I gained extensive knowledge and hands on skills that enabled me to secure my current employment at Sirdar Ghana Ltd. "

Shelometh Ampah-Brown,

Business Support Cordinator, Sirdar Ghana.

Huda Ibrahim
" ReadyforWork was a turning point in my life. I won the content writing award and was given a Smart Phone gift from Samsung. The program helped me to improve my skills, which resulted in my current employment. Thank you so much, SFAN, for your support! "

Huda Ibrahim,

Program Officer, EPA Ghana

Prince Dogbe
" SFAN gave me the greatest opportunity of my life so far, and that is my current job as a Senior Analyst at the Financial Advisory unit of GFA Consulting Ltd. I am grateful to the SFAN team for the ReadyforWork program and will happily recommend it to all. "

Prince Dogbe,

Analyst, GFA Consulting

Are you ReadyforWork?

Looking for something else?

RFW Logo

ReadyforWork is an immersive career accelerator that uses Artificial Intelligence and Machine Learning to help entry-level job seekers upskill and future-proof their careers with in-demand digital skills or launch their startups, and gives businesses access to diverse, less-expensive emerging talent pipelines.

King Solomon’s Heights

26, Mango Street, Accra, Ghana

(+233) 030 280 2935


© 2019 - 2024 Stars From All Nations | All Rights Reserved