Overview

Upskill into Data Analytics, become a Data Analyst

In today’s data-driven world, the ability to analyse and interpret data is a critical skill that can significantly enhance your career prospects and business acumen. Data Analytics enables organisations to make informed decisions, optimise operations, and identify new opportunities. By mastering data analytics, you will be equipped to transform raw data into actionable insights, driving strategic decisions and innovations across various industries. Whether you’re looking to advance in your current role, switch careers, or start your own business, proficiency in data analytics opens doors to a wealth of high-demand, high-paying job opportunities.

Our comprehensive curriculum designed to equip you with the essential skills needed to excel in the field. The program covers a wide range of topics including Python Programming, where you’ll learn the basics of coding and how to manipulate data using Python libraries. In Python Data Analysis, you’ll dive deeper into data cleaning, visualisation, and statistical analysis. The SQL module will teach you how to manage and query databases effectively. You’ll also gain proficiency in Advanced Excel for data modelling and analysis, and explore Business Intelligence (BI) tools to create dynamic dashboards and reports. Our hands-on projects and real-world case studies ensure that you can apply your knowledge practically and confidently.

This program is ideal for aspiring data professionals, recent graduates, and working professionals looking to upskill or pivot into the field of data analytics. If you have a passion for problem-solving, an analytical mindset, and a desire to work with data, this program is for you. No prior experience in data analytics is required; however, a basic understanding of mathematics and statistics will be beneficial.

Choose the learning schedule that best works for you

Full-time schedule

Ideal for learners without other work or school commitments.

  • Graduate in 2.5 months
  • 35-40-hour weekly commitment
  • In-person classes on 3 weekdays; live online classes on 2 weekdays
  • Classes from 9am – 2pm with take-home daily challenges and weekend practice projects
  • Cohort intakes every 2 months
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Part-time schedule

Ideal for learners with additional work or school commitments.

  • Graduate in 4 months
  • 20-25-hour weekly commitment
  • Online classes on Monday to Thursday evenings from 7pm – 9pm with daily challenges
  • In-person classes on Saturdays from 10am to 2pm with weekly projects afterwards
  • Cohort intakes every 5 weeks
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In-person classes based at our Westlands/Lavington Office in Nairobi. Other cities from 2025.

Curriculum

What you’ll learn in our Data Analytics Program

Curated from our in-depth research and experience of the most in-demand skills for data analytics career pathways, our curriculum is broken down into 3 modules encompassing the following:

Learn the fundamentals of programming with the Python programming language. By the end of the module, you should have an apt understanding of building scripts with Python, interacting with databases, and sourcing data through APIs and scraping.

  • Dev Foundations: Git version control, Linux, and CLI/Terminal foundations
  • Python Basics: variables, conditional statements, loops, and functions
  • Data Types: strings, lists, files, tuples, sets, and dictionaries
  • Using Web Services: regular expressions, web scraping, and APIs
  • Advanced Python: object-oriented programming, unit-testing, and working with databases

Learn the essential Python libraries for data analysis. By the end of module, you’ll be able to clean data, analyse, visualise, and even deploy dashboards using Python data libraries.

  • Numpy Arrays: Learn how to do fast vectorised data operations with the Numpy library
  • Pandas Tabular Data: Learn how analyse and manipulate data with the Pandas library
  • Data Visualisation: Visualise data with plots built by Matplotlib and Seaborn libraries
  • Advanced Visualisation: Build geographic plots with GeoPandas and interactive plots with Plotly
  • Deployment of Dashboards: Deploy dashboards with a coherent data story with Dash by Plotly

Learn the fundamentals of data analytics outside the Python program ming environment. By the end of the module, you’ll be able to query SQL relational databases, design & build databases, and build dashboardsa with BI tools.

  • SQL Programming: Build basic and advanced queries with SQL on relational databases
  • SQL Database Design: Learn how to design databases, build, and optimise relational databases
  • Advanced Excel: Learn advanced formulae, Excel statistical modelling, build charts, forecasts, and pivot tables
  • Tableau Visualisation: Data storytelling through live dashboards with Tableau business intelligence tool

All Zindua programs require students to be versed with computer programming fundamentals for building efficient code and scalable solutions. In this program, here are the essential data structures and algorithms you’ll learn:

  • Basic Algorithms: Learn the Big-O Notation, Search, and Sorting Algorithms
  • Linear Data Structures: Learn Arrays, Hash maps, Stacks, Queues, Linked Lists, Trees, and Graphs
  • Non-Linear Data Structures: Trees, Graphs, and common algorithms involving trees/graphs such as pathfinding

Note that this is a Lite core program therefore, students will not get into advanced algorithms i.e. Dynamic Programming, and Greedy Algorithms which are covered in the longer/advanced Data Science Core Program.

To graduate the program, a student will be required to complete an end-to-end data analytics project involving sourcing data from an SQL database and/or API, cleaning data using Python and/or SQL queries, and building advanced dashboards to tell intricate data stories. Students have freedom to choose project on an industry niche of their interest or one that is aligned with their domain knowledge.

Zindua your career in tech. Join our Data Analytics program today!

Apply Now

Testimonial

Hear from a graduate

Mercy Samoei, data analytics program graduate in 2023

If I compare the person I am now, versus the person I was prior to joining Zindua, I would say that I have grown in more than one aspect. Zindua has been a good learning experience: amazing tutors, the students you get to interact with, and it is also quite time friendly. Classes are usually sizeable enough so it is easy to have a one-on-one experience, not like the normal classroom experience you get from uni. What I love most about Zindua is the personalised learning approach, blended learning, where some classes are online and others in-person. They also have a very favourable income-share agreement financing.

Mercy Samoei, Data Science Graduate

Your Zindua experience runs from admissions to placement

1

Complete application

Takes less than 2 minutes to complete. Choose your program and expected start date.

2

15-minute interview

The interview allows us to make sure your background aligns with your chosen program.

3

Pay enrolment deposit

Confirm your enrolment by paying a KES 5K deposit, deductible from your actual fees.

1

Personalised Learning

We pride ourselves in very small classes, allowing you as much touch with your technical mentor.

2

Project-based approach

You’ll work on a short daily challenge on weekdays, weekly project, and capstone after each module.

3

Global cloud certification

Curriculums are modelled on certification exams by Microsoft Azure and AWS.

1

Career Development

Beyond classes, we have a module focused on CVs, LinkedIn, portfolios, and technical interviews.

2

Job Placement Support

We don’t offer job guarantees but we connect some of our graduates to our employer networks.

3

Life-long engament

As an alumni, you’ll have free access to our masterclasses and placement support on a need-basis.

Zindua your career in tech. Join our Data Analytics program today!

Apply Now

financing

Choose the pricing options that fits your needs

We champion flexible financing options to improve the accessibility of our programs:

One-Time Upfront Payment

KES 5K deposit + KES 70K one-time fee; this totals to KES 75K – Cheapest Option

Pay in TWO Instalments

KES 5K deposit + KES 37K monthly for 2 months; this totals to KES 79K

Pay in THREE Instalments

KES 5K deposit + KES 26K monthly for 3 months; this totals to KES 83K

Flexi Payment Plan (Lipa Mdogo Mdogo)

KES 5K deposit + KES 13,500 monthly for 6 months. Payments will extend beyond the program length, therefore, we’ll require the student/parent (whoever will be making payments) to go through a credit vetting process by Chaptr Global – Most Flexible Option

Frequently asked questions

We have a three-step admissions process. Apply on website, attend a 15-minute interview, and pay the enrolment deposit to confirm your enrolment. Simple and straightforward. Since there could be some weeks between the time you pay the deposit and the orientation program, you’ll be invited to our Free Courses to start learning concepts that would be beneficial for your learning journey.

Yes, Zindua School has an enrolment deposit of KES 5,000 which is deductible from your program fees. The deposit allows us to confirm your slot in an upcoming intake. Fees will be paid (minus the deposit) once you have started the program.

Zindua School is extremely practical and our focus is on preparing our students for real-world problems in today’s job market. Most of our graduates get hired on the basis of their portfolio and this speaks to the quality of the skills you’ll gain at Zindua School.

Unfortunately, we do NOT offer a job guarantee. However, we do offer job placement support for graduates. This involves our career module where you’ll optimise your CV/resume, LinkedIn profile, portfolio, and even learn about technical interviews. Additionally, we do connect some of our graduates to our constantly growing employer networks.

For our full-time program, you’ll be expected to attend classes in-person on three weekdays and online on two weekdays. Classes run from 9am to 2pm, with take home coding assignments on each day. You are required to commit 35-40 hours weekly if you plan to join us full-time.

For our part-time program, you’ll be expected to attend online classes in the evening from Monday to Thursday. The online classes run for two hours and are slotted anytime from 6pm to 10pm based on your class group. You’ll have in-person classes on Saturdays from 10am to 2pm. You are required to commit 20-25 hours weekly to cover for class sessions and out-of-class projects. This is ideal for those with work or school commitments.

Note: full-time programs are shorter than the part-time program as there is more time committed per week for learning. However, both programs cover the same content and have the same expected outcomes.

Our ISA allows you to pay 50% of the program and pay the rest once you start earning through an income-share. When you are not earning, you pay nothing.This financing plan is only open to learners who are in their final year of university or already have a diploma or Bachelor’s Degree. This financing plan only applies to our core programs and specialisation programs; NOT lite core programs (Data Analytics and Web Development) or our short courses (Product Management and Data Structures Algorithms)