Data Science continues to evolve as one of the most promising, in-demand career paths for skilled professionals in Kenya. Our curriculum has been curated by domain experts through research and use of real-world case studies and data-sets relevant to the Kenyan context
Start Date: March 2nd 2020
Finish Date: April 3rd 2020
Classes run on weekdays 8:30 am-6pm. All classes are full time. No classes on public holidays.
Data science is a multidisciplinary field using software and algorithms to uncover insightful findings from data to enable companies to make smarter business decisions. It employs concepts, techniques and theories drawn from the fields of mathematics, statistics, information science and computer science.
In recent years, digital information has become so essential that organisations use different kinds of data every day. Unfortunately, not many professionals have the capability to process and provide insights from this data. This is evident in the Kenyan and African context where many organisations lack data teams skilled enough to provide meaningful insights and analysis to drive growth and innovation.
Here at Moringa School, you can grow to become a Junior Data Scientist with the skills to act as a consultant to organisations by understanding the complex behaviors, trends and characteristics within the collected and accumulated data. Moringa School have partnered with Dalberg Data Insights who will be providing the real-world data sets for this program.
Dalberg Data Insights is part of a global group named Dalberg in the data science field. They design solutions to international development challenges using data. Their specialization areas include:
After graduating from Moringa, you will have a highly technical skill set in data science that is very desirable in the Kenyan job market today.
In the Moringa Data Science course, you will learn the essential data science skills needed to solve complex business problems. In addition, you will learn essential non-technical skills that will help you communicate your findings to stakeholders in the workplace, who will make decisions based on your findings.
Every day, as a data science student, you will take on real-world business problems and case studies and analyze data sets for new insights. Ultimately, you present your findings using statistics, critical thinking and business knowledge.
The prep program is a prerequisite class before the core program. This class is five weeks long and the core program lasts 18 weeks.
By working on projects individually or in teams, you will apply your new data analytical skills towards building an impressive data analysis portfolio, as well as build the self-confidence needed to succeed in today’s data-driven economy.
By the end of the course, you will be able to:
KSh 40,500 (for a 5-week immersive program)
KSh 140,000 (for an 18-week immersive program)
NOTE: The Data Science Core course is only available to graduates of Moringa prep.
Learning Outcomes for Data Science Prep (5 Weeks)
Each data science topic in the Moringa Data Science Prep curriculum culminates with a summative assessment which aims to test your knowledge and understanding of that topic. It is also a way of evaluating your understanding and achievement of the following learning outcomes:
Course Topics for Data Science Core (18 Weeks)
Because of the proprietary nature of our Data Science Full-time Course. The Course Outline for Data Science Core Program is only available to those students who go through our Data Science Prep Program or to you, if you visit our Nairobi Campus for a brochure.
Overall Learning Objectives for Data Science Core (18 Weeks)
By the end of the course, you will have become a Junior Data Scientist. This means you will be able to:
Through working on projects individually or in teams, you will apply your new data science analytical and modeling skills towards building an impressive data scientist's portfolio and the confidence needed to succeed in today’s data-driven economy.
Everlyn Asiko is a data scientist with a passion for teaching and mentoring. She mentored Google Africa scholars in the Andela Learning Community program. Previously, she worked at Magharibi Innovation Hub as a community manager where she was in charge of the projects and the individuals at the hub. Her work in accident location extraction from natural language processing aims at drawing location insights from natural text and has been present at a Pan African AI conference as a poster. With her computer science background, she enjoys writing code and developing predictive models. She is a holder of a Business Intelligence Analyst - Explorer Award for Students 2018 from IBM. She is a mentee at Kamilimu, a mentorship program for technology students, where she builds on her innovation skills and community involvement.
Jedidah is a Data Scientist from The Kenya Revenue Authority where she worked as the Officer Business Intelligence & Data Warehousing Systems. Previously, she also worked for Save the Children Kenya and Save the Children International as the Business Intelligence Developer and Track and Trace Limited as the Customer Experience Analyst. She is a Strathmore University graduate with a Bachelor's degree in Business Information and Technology, IBM Explorer Award holder for Students 2016 and a certified IBM Big Data Developer/Engineer. She also holds a postgraduate certificate in The Internet of Things (IoT) and Data Science from Strathmore University.
Stand-ups build the confidence & presentation skills which are the key skills to have as a data scientist.
Kevin Chesa - Data Science Student (Cohort 1)
You can do it, as long as you have the interest, you can do it
Elizabeth Akinyi - Data Science Student (Cohort 1)
Going through prep really makes you want to learn more.
Ted Muthomi - Data Science Student (Cohort 1)
I used to think data science and data analysis were the same. I did not know that I wanted data science until I joined the program.
Daisy Chebet - Data Science Student (Cohort 1)
The program exceeded my expectations in terms of what I wanted to gain in a day. For example, I have been able to understand R and some bit of supervised machine learning. Teacher Kamande was very helpful in terms of sharing his knowledge. I would recommend other guys to pursue this course.
Service Management Analyst at Safaricom PLC
I developed an interest in Data Science and I started looking at options on where I could do it. Moringa School came to mind because I had heard of so much good reviews about their programs. My initial expectation was that I would be here to learn more on exploratory data analysis and understand more about machine learning using R. They were all met. I am looking forward to joining the full-time program.
Statistician from Kenyatta University