Data Science Certification Course

  • Call Us @ 0771 616 839
  • Email : info@pathwaysinternational.com

Being a Data Scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.

Big data, business intelligence, business analytics, machine learning and artificial intelligence. We know these buzzwords belong to the field of data science but what do they all mean?

3 Days

9am – 4pm

Who Should Attend?
Candidates with a strong passion for data science, will understand the ins and outs of each of Big Data, Business Intelligence, Business Analytics, Machine Learning and Artificial Intelligence. and recognise the appropriate approach into getting started. This ‘Intro to data and data science’ will give you a comprehensive look at all these buzzwords and where they fit in the realm of data science.

Why Should You Attend?
This is a great course that will provide an in-depth appreciation of data science and will cover critical aspects like understanding the Data Science Life Cycle and Data Science Applications. The course will also have great hands on sessions using Python and Machine Learning.

Course Fee
USD 700 – 70,000 KSh

Payment Details

1. Go to Mpesa on your Phone
2. Select Lipa na Mpesa
3. Select Paybill and use the Business Number: 609226
4. For the Account Number use: 1261521021
5. Enter Pin and wait for Confirmation Message.
6. E-mail us the confirmation message at info@pathwaysinternational.com OR forward the message to 0771616839

Account Name: Pathways International Limited
Bank Name: KCB Bank
Bank branch: Hurlingham
Account Number: 1261521021

Feb 26 – 28
Mar 25 – 27
Apr 22 – 24
May 27 – 29

Wednesday – Friday



For additional info please contact us @ +254-771-616- 839 or info@pathwaysinternational.com for more details.

For group training (3 or more) please contact us @ +254-771-616- 839 or info@pathwaysinternational.com for more details.