Data Science Part-Time Online Course

Are you a working professional or a college student with a tight schedule? Future Proof Your Career with our Data Science Part-Time Course. Master Data Analysis, Python, Machine Learning, and AI in 35 weeks.
Data Science Part-Time Online  Course

Secure the future of your career by joining our 35-week Data Science Part-Time & Online Course. Learn in-demand Data Skills that are reshaping businesses and industries today!

If you are an aspiring Data Scientist, Data Analyst or Machine Learning Engineer this is the right program for you. Stay ahead of the curve with our world-class curriculum crafted in partnership with Flat Iron School [ renowned US-based Tech Bootcamp].

Our comprehensive Data Science course will move you from beginner to mid-level. In 35 weeks you will learn Python for Data Science, Data cleaning, analysis, visualization, machine learning and so much more through practical hands-on projects and mentorship from industry experts.

At the end of the program, you will be an exceptionally skilled professional, ready to apply your knowledge to solve real-world challenges through the power of data.

Data Science is an interdisciplinary field that deploys algorithms, and other scientific
methods and processes to acquire insights and knowledge from data. Data Scientists are equipped with the knowledge of how to use data, tell a story, and derive insights for businesses. Many industries are now leveraging data for decision-making in their day-to-day operations and forecasting.

Aspiring data scientists, analysts, and anyone eager to harness the power of data to drive decisions. This program is for you if you want to work with Data to:

  • Help businesses leverage data for innovation and success
  • Innovate and predict future trends in business and other industries
  • Learn how to analyze data, and provide data-driven insights to make decisions
  • Elevate their careers or switch to Data Science within a year

  • Have a basic understanding or strong background in math & statistics concepts.
  • Have a university/college education (ongoing or graduated).
  • Complete the application process by taking a technical assessment test
  • Have a laptop with the following specs (core i5 upwards, 8GB RAM, 500GB upwards of storage).
  • Have stable internet access

  1. In-demand Skillset: Data science is at the forefront of the digital age. As businesses increasingly rely on data for decision-making, professionals with data science skills are in high demand across various industries.
  2. Career Opportunities: Learning data science opens up a wide array of career opportunities, ranging from data analyst and machine learning engineer to data scientist and AI specialist
  3. Innovation: Whether in healthcare, finance, marketing, or other fields, data science plays a pivotal role in driving innovation and creating new possibilities.
  4. High Earning Potential: Data scientists are often among the top earners in the technology sector.
  5. Global Impact: Data science has the potential to address global challenges, such as healthcare optimization, climate change analysis, and more. By learning data science, you can contribute to solving critical issues on a global scale.

If you are in search of a unique learning experience this is the place for you. We guarantee you will learn market-aligned skills through our practical and comprehensive curriculum.

  1. Project-based learning
  2. Access to large data sets & real-world business case studies
  3. Technical Mentor Support & Live instructor classes
  4. 12-month graduate support
  5. Job placement support

  • Students will dedicate a total of 20+ hours of learning weekly for 35 weeks.
  • Evening classes from 6 pm – 9 pm from Mon – Fri
  • Students attend live lectures & daily stand-ups as scheduled
  • Classes are fully online & compulsory
  • Additional classes & helpdesk support on Saturdays are available

Become a Certified Data Scientist with access to 12 months of Graduate Support to land your next career opportunity once you complete your course work.

Course Details

Find out the pacing options available, price, and more information about this course.

Curriculum Developed by:

Flatiron School


35 weeks

Mode of Learning:

100% Online | Mon – Fri 6 pm – 9 pm E.A.T

Tuition Fees:

Ksh 200,000 ( USD 2000 )
Download fees installment plans here

Course Prerequisites

  • Have a basic understanding or strong background in math & statistics concepts.
  • Have a university/college education (ongoing or graduated).
  • Complete the application process by taking a technical assessment test
  • Have a laptop with the following specs (core i5 upwards, 8GB RAM, 500GB upwards of storage).
  • Have stable internet access

Moringa Part-time Data Science Course Curriculum

At Moringa we guarantee you a unique learning experience and curriculum design. We deliver a cutting-edge and comprehensive curriculum by offering you:-

  • Project-based learning with real-life data sets
  • Technical Mentors
  • Live instructor classes
  • Access to community
  • Career & Graduate support services

Data Science Course Overview

Orientation, Pre Work and Introduction to Data Science Principles

During orientation, you learn more about Moringa, our policies, learning model, learning platform, classroom structure, and learning schedule.

The Data Science pre-work covers introductory Data Science concepts. By the end of pre-work, you will be prepared to dive into the course material and you will be at the same level as your coursemates.

You will also learn about Dat Science Principles, and Software Engineering principles and dive deep into python programming.

Data Analysis & Engineering

In this phase, students will be introduced to the fundamentals of python for Data Science. You’ll learn how to use Jupyter Notebooks, and will be familiarized with popular Python libraries that are used in data science such as Numpy and Pandas. To organize your data, you’ll learn about data structures, relational databases, ways to retrieve data, and the fundamentals of SQL for data querying structured databases. Furthermore, you will learn how to access data from various sources using APIs and perform Web scraping.

At the end of this phase, students will be able to use skills to collect, organize and visualize data with the goal of providing actionable insights.

Scientific Computing & Quantitative Methods

In phase 2, students learn about the fundamentals of probability theory like combinations and permutations. They also learn about statistical distributions and how to create samples, then apply this knowledge by running A/B experiments. At the end of this phase, students will be able to build their first data science model using linear regression.

Students will go through training with our professional development trainers in leading self, working with others, project management, career readiness, communicating for impact & Entrepreneurial Thinking

Machine Learning Fundamentals

In this phase, students learn about machine learning with a heavy focus on supervised learning. For starters, learners get into regression analysis and a new form of regression — logistic regression. In building regression models, students also learn penalization terms, preventing overfitting through regularization, and using cross-validation to validate regression models.

At the end of this phase students will be able to build and implement the most important machine learning techniques.

Students get a 1-week break to relax and boost energies to complete the remaining modules.

Advanced Machine Learning

This phase of the course focuses on a variety of Data Science techniques. Students learn about unsupervised learning techniques like clustering and dimensionality reduction. Students will be introduced to threading and multiprocessing to be able to work with big data. In doing so, you’ll learn about PySpark and AWS, and how to use those tools to build a recommendation system. You’ll also learn about deep learning, neural networks, and how to perform sentiment analysis.

Final Data Science Projects

In your final project, learners work individually or in groups to apply the technical and soft skills training and knowledge. Students will be required to create a large-scale data science and/or machine learning project. This final project provides an in-depth opportunity for you to demonstrate your learning accomplishments and get a feel for what working on a large-scale data science project is really like.

Career Opportunities for our Data Science Graduates

Ready to build your career in Data Science?