• Program Fees

    $ 2,790

    EMI Starting at $ 279/mo

  • Application closes on

    27 Nov, 2024

  • Program duration

    8 months

  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Purdue’s Academic Excellence

    Joint certificate from Simplilearn and Purdue University.

    Joint certificate from Simplilearn and Purdue University.

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    IBM’s Industry Prowess

    Obtain IBM certificates for IBM courses and get access to masterclasses by IBM

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    Career Assistance

    Build your Resume and highlight your profile to recruiters with the career assistance services.

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    Hands-on Experience

    14+ industry-relevant projects from the likes of Google,Zomato and IBM and many more

Corporate Training

Enterprise training for teams

Data Analytics Course Overview

With our Data Analytics courses in Nairobi, students gain a thorough understanding of critical data analytics and data science technologies. The course covers Tableau, statistics, Python, R, Power BI, and SQL. This Data Analytics training in Nairobi gives graduates the skills needed to market themselves as data analytics professionals.

Key Features

  • Post Graduate Program certificate and Alumni Association membership
  • Exclusive hackathons and Ask me Anything sessions by IBM
  • Live sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
  • Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
  • Master Classes delivered by Purdue faculty and IBM experts

Data Analytics Certification Advantage

The Data Analytics Course in partnership with Purdue University leverages Purdue’s academic excellence in Data Analytics & Simplilearn’s collaboration with IBM, providing a comprehensive view of the domain.

  • Data Analytics Certificate

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Masterclasses by Purdue faculty
    • Purdue University Alumni Association membership
  • Data Analytics IBM Certificate

    Program in Collaboration with IBM

    • Industry-recognized certificates from IBM
    • Industry masterclasses conducted by IBM
    • Exclusive hackathons and Ask Me Anything (AMA) Sessions with IBM leadership

Data Analytics Course Details

Fast track your career with this comprehensive Data Analytics Course curriculum, which covers the concepts of Statistics foundation, analyzing data using Python and R languages, interacting with databases using SQL, and visualizing the data using Tableau and Power BI.

Learning Path

  • Induction Session for Purdue Data Analytics Program

    Get started with this Data Analytics Program in partnership with Purdue University and explore everything about this Data Analytics certification. Start your journey with the preparatory courses on Statistics and an Introduction to Data Analytics along with SQL training.

  • PG DA - Business Analytics with Excel

    Make the Data Analytics foundation strong with the basics of statistics fundamentals, and techniques as the first step in the Data Analytics Program.

  • PG DA - SQL

    This course gives you the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn the concepts of fundamental SQL statements, conditional statements, commands, joins, sub-queries, and various functions to manage your SQL database for scalable growth

  • PG DA - Programming foundation and Data Analytics with Python

    With this Data Analytics Program with the Python Bootcamp program, you will learn programming fundamentals, how to analyze data in Python, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more.

  • PG DA - R programming for Data Science

    Discover R programming with this Data Analytics Program. Learn how to write R code, utilize R data structures, and create your own functions.

  • PG DA - Data Analytics with R

    The next step to becoming a Data Analyst is learning R—the most in-demand open-source technology. R is a powerful Data Science and analytics language, which has a steep learning curve and a very vibrant community. This is why it is quickly becoming the technology of choice for organizations who are adopting the power of analytics for competitive advantage

  • PG DA - Tableau Training

    This Data Analytics Program covers Tableau Desktop 10 training that will help you develop various skills in the powerful data platform, including building visualizations, organizing data, and designing dashboards.

  • PG DA - Data Analytics Capstone

    At the end of the Data Analytics Program, bring your newly acquired Data Analytics skills together with a hands-on, industry-relevant capstone project that compiles every course into one portfolio-worthy capstone.

Electives:
  • PL-300 Microsoft Power BI Certification Training
    • Aligned with PL-300: Microsoft Power BI Data Analyst certification
    • Simplilearn's certification training explores Microsoft Power BI concepts.
    • Topics include Power BI Desktop layouts, BI reports, dashboards, DAX commands, and functions.
    • Learn to experiment, refine, prepare, and present data with ease.
    • Explore comprehensive Power BI training for hands-on applied learning.
    • The course adopts a practical approach to help you gain expertise.
  • Academic Masterclass by Purdue University Online

    Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.

  • Industry Master Class – Data Analytics

    Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.

  • Generative AI Masterclass
    • Attend live generative AI masterclasses and learn how to leverage it to streamline workflows and enhance efficiency.
    • Conducted by industry experts, these masterclasses delve deep into AI-powered creativity.

Contact Us

+65 31 585082

7+ Skills Covered

  • Data Analytics
  • Statistical Analysis using Excel
  • Data Analysis Python and R
  • Data Visualization Tableau and Power BI
  • Linear and logistic regression modules
  • Clustering using kmeans
  • Supervised Learning

10+ Tools Covered

Microsoft ExcelNumPypandaspower bipythonRScikitLearnSciPySQLtableau

Industry Projects

  • Project 1

    Rating Prediction for Apps on Google Play Store

    Make a model to predict the app rating, with other information about the app provided to boost its visibility.

  • Project 2

    Demand Forecast for Walmart

    Predict store sales and demand, factoring in economic conditions for the retail giant Walmart’s stores across the United States.

  • Project 3

    Designing a Sales dashboard in Excel

    Explore Excel to analyze sales based on various product categories.

  • Project 4

    Online Car Rental Platform

    Build an online car rental platform where customers should be able to view the available cars that can be rented based on categories

  • Project 5

    Comparison of Regions Based on Sales

    Build a dashboard to visualize the region-wise sales performance and suggest the necessary improvements.

  • Project 6

    Healthcare

    Identify the causes and develop a system to predict heart attacks in an effective manner using the datasets on the factors that might have an impact on cardiovascular health.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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Program Advisors and Trainers

Program Advisors

  • Patrick J. Wolfe

    Patrick J. Wolfe

    Frederick L. Hovde Dean of the College of Science at Purdue University

    Patrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of the College of Science at Purdue University and was named the 2018 Distinguished Lecturer in Data Science by the IEEE.

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Program Trainers

  • Christopher Hemmel

    Christopher Hemmel

    20+ years of experience

    Business Data Analyst

  • Sonal Ghanshani

    Sonal Ghanshani

    10+ years of experience

    Consultant and Corporate Trainer

  • Shubham Pandey

    Shubham Pandey

    11+ years of experience

    Strategy Consultant

  • Sayan Dey

    Sayan Dey

    11+ years of experience

    Data Scientist | Corporate Trainer

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Join the Data Analytics industry

Data science and analytics jobs are predicted to increase 28% by 2020, according to an IBM report. The global analytics market is expected to grow by $132.9 billion during the period of 2016 to 2026 (Source: Market research future report)

Job Icon11.5 M

Expected New Jobs For Data Science And Analytics

Source: US bureau of Labor
Job Icon28%

Annual Job Growth By 2026

Source: Dice 2020 report
Job Icon$46K-$100K

Average Annual Salary

Source: Glassdoor

Batch Profile

This Data Analytics Course caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.

  • Industry
    The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 32%BFSI - 19%Software product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Companies
    course learners from Amazon, Nairobi
    course learners from Ernst & Young, Nairobi
    course learners from Fidelity Investments, Nairobi
    course learners from Johnson and Johnson, Nairobi
    course learners from Vodafone, Nairobi
    course learners from Broadcom, Nairobi
    course learners from Accenture, Nairobi
    course learners from Nomura Holdings, Nairobi
    course learners from Ericsson, Nairobi
    course learners from Infosys, Nairobi
    course learners from Nvidia, Nairobi
    course learners from Tata Consultancy Services, Nairobi

Alumni Review

I had a great learning experience, and the faculty was very encouraging. The projects were vital in helping me understand whatever I learned during the course. I have also gained a lot of great professional contacts through this course. The course was very well structured, too.

Rose Ashford

Business Consultant

What other learners are saying

Admission Details

Eligibility Criteria

For admission to this Data Analytics Certification Course, candidates:

A bachelor's degree with an average of 50% or higher marks
Prior work experience is not mandatory
Can be from programming or non-programming background

Admission Fee & Financing

The admission fee for this Data Analytics Course is $ 2,790, which covers applicable certification charges & Alumni Association membership fee.

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Total Program Fee

$ 2,790

Pay In Installments, as low as

$ 279/mo

You can pay monthly installments for Post Graduate Programs using Splitit payment option with 0% interest and no hidden fees.

Program Cohorts

Next Cohort

  • PGP DA Jan 2025 Cohort 1

    • Date

      Time

      Batch Type

    • Program Induction

      6 Dec, 2024

      17:00 EAT

    • Regular Classes

      18 Jan, 2025 - 27 Jul, 2025

      16:30 - 20:30 EAT

      WeekendSaSu

Got questions regarding upcoming cohort dates?

Data Analytics Certification Course FAQs

  • Why is there a demand for Data Analytics courses in Kenya?

    Data analytics has spread its wings across sectors and industries, including, healthcare, finance, retail, education, eCommerce, and more, making it a lucrative field. And in order to grab the best opportunities in the field, a world-renowned Data Analytics course in Kenya (especially from a prestigious university) acts as a career catalyst, making this course one of the most in-demand certification courses.

  • What are the different roles in data analytics?

    With data analytics growing in prominence and complexity, the domain has broken down into more specific roles. Some of these roles include:

    • Business intelligence analyst
    • Data analyst
    • Data scientist
    • Data engineer
    • Data visualizer
    • Quantitative analyst
    • Operations analyst
    • Data analytics consultant

    And more

  • What are the top responsibilities of a Data Analytics Expert?

    Data analytics experts are integral to organizations today, transforming raw data into meaningful insights that drive business strategy and operations, helping them gain competitive advantages, optimize processes, and achieve business objectives. Some of their top responsibilities include:

    • Gathering data from different sources and preparing it for analysis by cleaning and organizing it
    • Analyzing the data and identifying patterns, trends, and any connections
    • Creating visual representations of data, such as charts, graphs, and dashboards.
    • Deriving insights and conclusions and making them more presentable and accessible
    • Collaborating with other stakeholders to make insight-driven decisions for the organization

  • How do I enroll in this data analytics course?

    The admission process for the data analytics course consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by paying the program fee.

  • What is the salary potential of a data analytics professional?

    Data analytics professionals generally enjoy competitive salaries due to the high demand for their skills. That said, the salary potential of a data analytics professional can vary widely based on factors such as experience, education, geographic location, industry, and the specific job role. A data analyst's average annual salary over a year is USD 67,574.

  • What are the top industries implementing data analytics?

    Data analytics is widely implemented across different industries to leverage data-driven insights to optimize operations, enhance customer experiences, and drive strategic decisions. Here are some of the top industries utilizing data analytics:

    • Retail and ecommerce
    • Healthcare and pharmaceuticals
    • Finance and banking
    • Telecommunications
    • Education
    • Real estate

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