Certification Course in
Data Science
The Data Science Certification Course provides a comprehensive curriculum and equips participants with the tools and techniques to extract data insights and make informed business decisions. Upon completion, learners will receive an internationally recognised certification, gain practical programming language skills such as Python and R, and experience working with large datasets.
South Africa, Nigeria, Kenya, Uganda, Tanzania & India
0 Regenesys Alumni
Globally Recognised
Data Science Course Outcomes
What Our Learners Have Achieved
Globally Recognised Certificate
Enhanced Career Prospects
Skill Enhancement
Explore The World Of Data Science With Us
Everything You Need To Know
Course Overview
Course Curriculum
World Class Faculty
Tools Covered In This Course
Pricing Across The Countries
Course Overview
Digital Regenesys’ Data Science Course is a 30-week course that will teach you all the aspects of Data Science and allow you to work on real-life big data sets. You will learn how to manipulate data and extract insights from it using Python and pandas. Gain Data Science skills and delve into Databases and analytics, Spark NLP, GIT, and GITHUB. Acquire the skills to innovate and solve complex problems with Data Science.
Live Classes
Global Certificate
Industry Expert Faculty
Career Counselling
Course Curriculum
- R-Programming Language
- MongoDB (DBMS)
- Python Programming
- MySQL (DBMS)
- Math for Data Science
- Excel
- ChatGPT Helping Data Scientists Big on their Day-To-Day Life
- Power-BI
- Tableau
Add-on Modules
General Modules
Complimentary Modules
Business Intelligence Tools
World Class Faculty
Dr. Nilay Karade
Ph.D. in Computer Science
15+ Years of Experience
Ms. Samidha Kurle
Masters in Computer Engineering
10+ Years of Experience
Ms. Gazal Nashte
Masters of Computer Science
13+ Years of Experience
Dr. Hetal Gandhi
Ph.D. in Computer Engineering
12+ Years of Experience
Tools Covered In This Course
Pricing Across The Countries
South Africa
India
USA
Student Reviews
Over 10,000+ Learners
Henry Maro Machoke
Data Science
Digital Regenesys offers an inclusive, non-discriminatory learning environment with excellent facilitators. The course starts with the basics, making it ideal for beginners in Python, data science, and programming. The capstone project is comprehensive, and the program is highly affordable compared to others. I highly recommend it for anyone looking to advance their skills
Hilolimus Kimweri
Data Science
With a background in Economics and Finance, I joined Digital Regenesys to enhance my data analysis skills, crucial for fraud detection and operational decision-making. The Data Science course provided me with valuable tools like Power BI and Python, significantly improving my ability to analyze and visualize data. This knowledge not only facilitated my recent promotion but also streamlined my work across 58 branches. I highly recommend Digital Regenesys for those seeking to advance their careers through data-driven insights.
Japhet Kurgat
Cybersecurity
I completed a Cyber Security course at Digital Regenesys. The course was highly educational, with knowledgeable facilitators who explained everything in detail. Classes were recorded and uploaded to a well-organized student portal along with study materials. After passing the exams, I received a certification that has enhanced my professional profile. I highly recommend Digital Regenesys for their excellent resources, responsive facilitators, and comprehensive learning experience.
Didacus Masanja Gilya
Cybersecurity
I joined Digital Regenesys to study Cyber Security Fundamentals and the experience was overwhelming. The facilitators, especially Mr. Rakesh, were kind, and patient, and made weekly follow-ups to address any concerns. The skills I gained have significantly boosted my career and motivated me to pursue a future as a Cyber Security Analyst. I highly recommend this course to anyone interested in digital security, even beginners without an ICT background.
Effiong Udo Inyang
Data science
The Data science course taught by Dr. Laika at Digital Regenesys was truly eye-opening for me. I had no idea how important Data science has become to level up professionally. I am also planning to enrol for some other upskilling course by Digital Regenesys and would recommend this platform to almost every friend of mine.
Thibedi Grandy Mmatli
Cyber security
The best part about the Cybersecurity course that I took at Digital Regenesys is that my lecturer helped me greatly by solving my doubts during and outside the class as well. Vijal Mam was very helpful and she made sure that each and every student in the class understood the course properly.
Akshay Patil
Machine Learning
After completing my course in Machine Learning, I registered myself for Data Science that was taught by Dr. Laika and I have to say both my instructors were very helpful and went beyond their ways to teach me. They also helped me create a professional LinkedIn profile. I am glad that I chose Digital Regenesys for my learning courses.
Dhiraj Gaikwad
Artificial Intelligence
I heard about the Artificial Intelligence course from Digital Regenesys, as a colleague of mine did it from there. I took the admission and I must say that I got my promotion because of Digital Regenesys. The overall procedure from talking to the counselors to ending the course, it helped me learn a lot and upskill myself the way I wanted.
Get Certified With UsData Science Certification
Digital Regenesys aims to enable an innovative ecosystem in new age technologies like AL, ML, Drones, Robots, and data analytics (often called CPS technologies) and become the source for the next generation of digital technologies, products and services by promoting, enhancing core competencies, capacity building.
Key Takeaways
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of Digital Regenesys.
Frequently Asked Questions
- Data Science Courses
- Eligibility and Enrolment
- Tools Covered
- Duration and Accessibility
- Data Science Online Certification Courses
Data Science Courses
What is Data Science?
What is a Data Science Course?
Is data science still in demand in 2024?
FAQ
- Data Science Courses
- Eligibility and Enrolment
- Tools Covered
- Duration and Accessibility
- Data Science Online Certification Courses
Data Science Online Course
The demand for data science professionals has surged globally with the increasing reliance on data-driven decision-making across industries. As businesses face the growing need to analyse large datasets and gain actionable insights, data science has become critical for businesses, governments, and individuals. The rise of big data has led to a sharp increase in the need for skilled data scientists who can harness the power of data to drive strategic decisions, enhance operations, and create competitive advantages.
This growing demand has significantly expanded the availability of data science courses designed to equip learners with the skills to analyse, interpret, and present data effectively. Courses cover key areas such as machine learning, statistical analysis, data visualisation, and big data technologies. Across Africa, major cities like Johannesburg, Nairobi, and Dar es Salaam have seen a surge in demand for data science expertise, and numerous data science courses are now available in these regions to meet the growing needs of businesses and governments.
About the Data Science Course
The Digital Regenesys Data Science Course is a 30-week programme that prepares learners for the rapidly evolving field of data science. This course offers essential skills in statistics, machine learning, data visualisation, and big data technologies. It is structured to provide hands-on training with real-world data science challenges. Learners will develop in-depth knowledge of data science technologies and strategies with live expert sessions and practical exercises. Upon completion, graduates receive a globally recognised data science certification, giving them a competitive edge in finance, healthcare, IT, and government industries.
Data Science Course Curriculum
The Data Science Online Course curriculum is designed to offer a robust learning experience in three phases: basic, advanced, and applied. The course ensures learners gain foundational knowledge and practical skills to excel in data science roles. Below is an overview of the course syllabus:
| Topics | Curriculum |
|---|---|
| Basic Data Science | Add-on Modules
General Modules
Complimentary Modules
Business Intelligence Tools
|
| Advanced-Data Science | Add-on Modules
General Modules
|
| Applied Data Science |
|
Tools Covered in the Data Science Course
The Data Science Online Course equips learners with hands-on experience using various essential tools and platforms, critical for solving real-world data science problems. Below is an overview of the tools covered in this course:
| Categories | Tools | Description |
|---|---|---|
| Data Collecting and Preprocessing Tools | Tableau, MATLAB, NumPy, SciPy | Tools for collecting, cleaning, and preparing data for analysis. Tableau visualises data, MATLAB processes it, and NumPy and SciPy handle numerical computations. |
| Statistical Analysis Tools | Jupiter, Excel, pandas | These tools help analyse and manipulate data. Jupyter is used for coding, Excel for spreadsheet analysis, and Pandas for data manipulation and analysis in Python. |
| Programming and Scripting Languages | Python, SQL | Python is a versatile language for data science, while SQL is used for querying and managing relational databases. |
| Data Visualisation tools | Matplotlib, Seaborn | Tools to create static, animated, or interactive visualisations in Python. Matplotlib is for basic plotting, and Seaborn provides a higher-level interface for visualisation. |
| Deep Learning API | Keras | A user-friendly API for building and training deep learning models, providing a more straightforward interface to TensorFlow. |
| Machine Learning and Artificial Intelligence | TensorFlow | An open-source platform for machine learning and deep learning used to build and train neural networks and AI models. |
Data Science Course Fees
Choosing the right data science course involves finding a programme that offers excellent value and aligns with your career goals. At Digital Regenesys, we provide a highly competitive fee structure designed for the South African market. Our Data Science Course offers top-tier education at a cost-effective rate, making it accessible to those looking to advance their careers in this high-demand field.
By enroling in our course, you’ll benefit from world-class training, industry-aligned content, and the opportunity to gain practical skills that are in demand by employers across South Africa. Our fee structure reflects our commitment to affordability without compromising on quality.
For more information on data science course fees, payment plans, and available scholarships, please contact our admissions team.
Data Science Career Path & Salary Insights
The data science career path offers immense growth in responsibility and earning potential, similar to cyber security. Entry-level roles such as Data Analyst or Junior Data Scientist help professionals build strong foundations in data manipulation, statistical analysis, and predictive modelling, which are essential for understanding data trends and providing actionable insights. As they gain experience, individuals progress to roles like Data Scientist or Machine Learning Engineer, working on building models, developing algorithms, and solving complex business problems.
With continued development, professionals can move into senior positions such as Senior Data Scientist or Data Science Manager, overseeing data projects, managing teams, and aligning data strategies with business objectives. At the peak of the data science career is the Chief Data Officer (CDO) or Head of Data Science, responsible for defining the organisation’s data vision, strategy, and governance.
Career Progression and Salary Growth in Data Science
Data science offers a structured progression in both responsibility and salary. Below is a typical career path with corresponding salary growth based on experience and role, as of September 2024:
| Job Role | Average Salary | Career Progression |
|---|---|---|
| Data Analyst (Entry-Level) | R 355,000 | With 1-3 years of experience, may progress to Data Scientist or Machine Learning Engineer roles. |
| Junior Data Scientist (Entry-Level to Mid-Level) | R 480,000 | As experience grows, one may advance to a Data Scientist or specialise in fields like AI or deep learning. |
| Data Scientist (Mid-Level) | R 720,000 | With 3-5 years of experience, professionals can become Senior Data Scientists or Data Engineers. |
| Machine Learning Engineer (Mid-Level) | R 850,000 | Experience can lead to roles like Senior Machine Learning Engineer or AI Specialist. |
| Senior Data Scientist (Senior-Level) | R 1,000,000 | Advanced professionals may move into Data Science Manager roles, overseeing data teams and projects. |
| Chief Data Officer (Executive-Level) | R 1,500,000+ | Many CDOs lead the data governance of large organisations or expand their expertise into broader business intelligence and strategy. |
Data Science Courses Across Africa
As African nations embrace digital transformation, the demand for data science professionals has skyrocketed. In South Africa, Kenya, Nigeria, and Tanzania, industries such as banking, telecommunications, and healthcare are driving the need for data experts to protect sensitive information and maintain secure operations.
Data Science Course in South Africa
South Africa is witnessing a growing demand for data scientists as industries adopt data-driven solutions. The availability of data science courses in South Africa has increased, offering learners flexible learning options such as data science online courses and data science short courses. Data Science academies in South Africa now offer globally recognised certifications, helping professionals advance their careers in high-demand sectors.
Data Science Course in Kenya
With Kenya’s booming tech industry, data science courses in Kenya have become essential for professionals seeking to harness the power of data. The data science course requirements in Kenya focus on practical skills in machine learning and data analysis, preparing learners for roles in industries like finance and telecom.
Data Science Course in Nigeria
In Nigeria, the tech sector is rapidly expanding, and data science certifications are in high demand. Data science courses in Nigeria equip learners with the skills needed for career advancement in fields like fintech, healthcare, and logistics.
Data Science Course in Tanzania
Data science courses in Tanzania are growing in popularity as businesses across the region seek data experts. These courses offer a solid foundation in data analysis and machine learning, preparing professionals to meet the evolving needs of industries such as agriculture, telecoms, and government.
Why Choose Digital Regenesys’ Data Science Course?
With data science becoming a vital skill across all industries, Digital Regenesys offers one of the most comprehensive and globally recognised data science certification courses. Our programme provides:
- 30-week intensive course covering all aspects of data science
- Hands-on experience with real-world data challenges
- Learn from industry experts with extensive experience
- Flexible online learning format
- Globally recognised certification
- Career support, including job placements
Conclusion
The digital age demands skilled professionals to analyse data and guide decision-making. With Digital Regenesys' Data Science Certification Course, you'll gain practical skills in data analysis, machine learning, and more, positioning yourself for success in this fast-evolving field. Prepare for a future in data science by enroling in one of the best online data science courses today!
