Best Data Science Course in Kenya

Data science is an interdisciplinary field that employs scientific techniques, tools, and processes adopted from diverse fields including statistics, machine learning, data analytics, computer science, and others to extract knowledge and insights from vast volumes of structured and unstructured data that will be useful for making business decisions. 

For four years straight up to 2020, Glassdoor named data science the most in-demand skill in the United States. The increase in data that is being generated, the sudden realization of the value that lies within data, as well as, the growing importance of data analysis and data-driven decisions are the driving forces behind the rising demand for data science skills across the globe. At the same time, an increase in job openings and data science training opportunities will be witnessed in the coming years. 

The Kenyan Data Science market 

Kenya has not been left behind in the quest for discovering the gem inside of the massive volumes of data that is generated every passing day. While data science is a relatively new field, it has gained a lot of momentum in organizations especially those that handle large volumes of data. It is projected that by 2025, the Kenyan data science market will be worth $6 million and the data analytics outsourcing market worth $26 billion. This is considered a huge milestone towards the adoption of data science concepts in Kenya. Many companies, large, medium-sized, and startups alike, are already hiring data scientists if not considering having these skills on board their operations. 

Best Data Science Course in Kenya

In line with the increasing job openings for data science professionals and the rising demand for training, our article today looks at six top data science training courses in Kenya. 

Simplilearn offers this 6-month comprehensive Data Science Master’s program in collaboration with IBM. It comprises a series of six courses, a capstone project, and four electives covering a range of data science and machine learning courses. Courses are delivered in an online and self-paced learning setting. Learners have access to more than 220 hours of live interactive learning sessions delivered by industry experts, over 15 real-life projects, as well as exclusive Hackathons and live https://www.youtube.com/embed/WvDiKDV1Yjs 

The successful completion of each course earns you a certification from either Simplilearn or IBM. Along with getting training and gaining hands-on experience from industry leaders, you get exposure to several technology tools including R and Python programming languages, Tableau, Hadoop, and Spark. 

To earn the Master’s certification, you are required to achieve the minimum requirements which are completing the following courses:

This program is designed for IT professionals, analytics managers, BAs, professionals in the banking and finance industry, marketing managers, beginners, and those who have recently graduated with a bachelor’s degree in computer science, information science, or a related discipline. However, before enrolling, one needs to have basic knowledge of statistics and programming language. 

After completing this course, you will have gained understanding and mastered skills in statistics, supervised and unsupervised learning models, hypothesis testing, data mining, decision trees, data wrangling, data visualization, recommendation engine, and more. 

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  • The Moringa School 

The Moringa School in Nairobi offers learners courses that equip them with both technical and soft skills. The 5-week Moringa Prep: Data Science Fundamentals Introductory Course for beginners and the 18-week Data Science Core: Visualization & Intro to Machine Learning advanced course for intermediates are well-structured to meet the needs of learners. The introductory course covers the fundamentals of data science, the logic for data science, and the data preparation modules and exposes learners to Python, SQL, Pandas, and NumPy data tools. 

The data science core course delves deeper into the topic to cover supervised learning, advanced regression, decision trees, neural networks, and R programming language to prepare learners to model, analyze, visualize, and present insights, and recommendations from data on a more advanced level.

Learning is delivered in-classroom and courses are packaged with several real-world case studies, local data-sets for practical learning, and mentorship by industry experts. The data science programs are designed for high school, college students, and university graduates who are good at and have developed a passion for working with numbers and data. It prepares learners for a career in the fields of technology, business, healthcare, engineering, and others. 

  • Strathmore University 

Strathmore University in collaboration with iLabAfrica Research and Innovation Centers offers this 2-year Master of Science in Data Science and Analytics (MSc DSA) program at its Institute of Mathematical Sciences. This program is designed for graduates in statistics, IT, commerce, economics, finance, or other related disciplines. It is delivered through a blend of in-classroom, e-learning, and practical sessions. 

This course covers data science and analytics concepts and has been packaged with practical lessons that take place in the well-equipped applied data science labs. 

  • Ulearn Systems

The data science certification training course by Ulearn systems is a post-graduate program designed for recent graduates with some experience or those in their final semester. This course covers data science, data analytics, project life cycle, data acquisition, statistical methods, and machine learning concepts using the R programming language. Learners have access to the R CloudsLab where they can practice how to implement real-life industry-based projects in various industries. 

Ulearn systems have several training options including instructor-led classroom training, instructor-led online training, on-site group training, or focused one-on-one training. 

The Kenya School of Monetary Studies in collaboration with Moi University and Jomo Kenyatta University of Agriculture and Technology (JKUAT) offers the Data Analytics Certification course designed for Kenyan professionals in the banking and financial sectors and other related institutions. To undertake this course, you need to have a background in mathematics and IT, have a Bachelor’s degree, be working in the financial sector or other related institutions, and also be nominated by a participating institution. Learning is delivered purely in-classroom and is applied, innovative, making use of real-world case studies. 

  • Africa Data School 

Africa data school offers intensive 12-week training that covers data science, machine learning, deep learning, natural language programming, big data, and computer vision. This program is designed for professionals in the engineering and data analytics fields as well as university graduates and beginners who wish to launch their career in this field. Learning is delivered both face-to-face and online. To undertake this course you are required to have a background in mathematics, computer science, and other related fields. 

Alongside the theoretical coursework, learners practice with real-life case studies. At the end of the course, you will have an in-depth understanding of how to apply business intelligence and predictive analytics to real-world business problems.   

Conclusion 

The Covid-19 pandemic has taught the world to rely more on data like never before. Going forward, there will be an even higher resolution to get the most out of data which means a higher spend on data science and technologies by organizations. By 2020, the data science profession was third on the list of jobs with the highest growth rate at 37%, according to LinkedIn. The demand for data skills is set to be on the rise in the coming years which means better prospects for professionals in the field or those intending to launch a career in data science. 

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