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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.

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South Africa, Nigeria, Kenya, Uganda, Tanzania & India

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Data Science Course Outcomes

What Our Learners Have Achieved

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Globally Recognised Certificate

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Enhanced Career Prospects

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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

Data Science Course Overview

Overview

Digital Regenesys’ Data Science Course is a 48-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

    Live Classes

  • Global Certificate

    Global Certificate

  • Industry Expert Faculty

    Industry Expert Faculty

  • Career Counselling

    Career Counselling

Data Science Course Curriculum

Duration IconBasic Data Science
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    Add-on Modules

    • Tick IconR-Programming Language
    • Tick IconMongoDB (DBMS)

    General Modules

    • Tick IconPython Programming
    • Tick IconMySQL (DBMS)

    Complimentary Modules

    • Tick IconMath for Data Science
    • Tick IconExcel
    • Tick IconChatGPT Helping Data Scientists Big on their Day-To-Day Life

    Business Intelligence Tools

    • Tick IconPower-BI
    • Tick IconTableau
Duration IconAdvanced Data Science
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Duration IconApplied Data Science
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World Class Faculty

Faculty

Dr. Nilay Karade

Ph.D. in Computer Science

15+ Years of Experience

Faculty

Ms. Samidha Kurle

Masters in Computer Engineering

10+ Years of Experience

Faculty

Ms. Gazal Nashte

Masters of Computer Science

13+ Years of Experience

Faculty

Dr. Hetal Gandhi

Ph.D. in Computer Engineering

12+ Years of Experience

Tools Covered In Data Science Course

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Pricing Across The Countries

South Africa

Pricing
R48,065
Duration
48 weeks
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Online Mode

India

Pricing
₹ 257,256 + GST
Duration
48 weeks
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Online Mode

USA

Pricing
$ 2,559
Duration
48 weeks
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Online Mode
Career

Student Reviews
Over 10,000+ Learners

Career

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

Career

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.

Career

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.

Career

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.

Career

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.

Career

Thibedi Grandy Mmatli

Cybersecurity

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.

Career

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.

Career

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.

Career

Mercy Monnie

Digital Marketing

Digital Regenesys gave my career a significant boost as a Stock Broker and Marketer. My venture into other businesses led me to enroll, and I'm glad I did.

Career

Chidi Igweomoke

Cyber Security

The Cybersecurity program was truly awesome. Despite having prior experience, I learned a lot from the instructor, who took the time to practicalize concepts I found confusing. I've since taken my CEHv11 exam to further build on my skills. I highly recommend this course to anyone looking to kickstart or boost their career in cybersecurity.

Career

Olawale Gabriel Ayorinde

Cyber Security

Your approach to explaining the complexities of cybersecurity was both insightful and informative, making it easier for me to grasp the fundamentals of this critical field.

Career

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

Check ImageData-ML Integration
Check ImageNew-age Technologies
Check ImageDatabase Structure & Algorithms
Check ImageStatistical Analytics
Check ImageData Visualisation
Check ImageAdvanced-Data Analysis
Certification Image

Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of Digital Regenesys.

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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?

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    Data science is a demanding skill in several industries, including finance, transportation, education, manufacturing, human resources, and banking.

  • What is a Data Science Course?

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    Data Science Course is a multidisciplinary field designed to teach individuals the technical skills and knowledge required to analyse and interpret complex data sets using statistical methods and machine learning algorithms.

  • Is data science still in demand in 2024?

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    Data science is a high-demand field and skill set, and nearly every industry uses data science in one way or another.

Eligibility and Enrolment

  • Who can pursue a Data Science Course?

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    Anyone can pursue data science; no prior knowledge or experience is needed to start learning.

  • How do I enrol and register for the Digital Regenesys Data Science Course?

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    To enrol in the Digital Regenesys online course, follow these steps:\n \n 1. Visit the official website @ https://www.digitalregenesys.com/ \n 2. Navigate to the course page.\n 3. Select the required course. \n 4. Click the "Enrol Now" button. \n 5. Complete the registration form with all the required details. \n 6. Submit the form and proceed to make the payment for the course. \n 7. Upon successful payment, you will receive a confirmation email with instructions on accessing the course \n materials and beginning your online learning journey

  • Are there any age restrictions to pursue a Data Science Course?

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    There are typically no age restrictions to pursue a Data Science Course. These courses are designed to accommodate learners of all ages, from high school students to working professionals looking to enhance their skills later in their careers.

Tools Covered

  • Why is an algorithm a valuable tool in Data science?

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    Data science uses algorithms to understand raw data and focuses on prediction.

  • Which tool is most widely used in Data science?

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    TensorFlow is the most widely accepted data science tool and is popular because of its Machine Learning (ML) and Deep Learning (DL) libraries.

  • What tools are covered in the Digital Regenesys’s Data Science course?

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    Tools used in the Digital Regenesys Data Science course are Excel, Python, Keras, MATLAB, Pandas, Scikit-learn, Scipy, Tableau, NumPy, Seaborn, Jupyter Notebook, TensorFlow, Apache Spark.

Duration and Accessibility

  • How Long Does It Take to Complete a Data Science Course?

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    The total duration of the Digital Regenesys Data Science Course is 48 weeks.

  • Can I take a self-paced Data Science course, or do they have fixed schedules?

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    Some Data Science courses are self-paced, allowing learners to progress through the material at their speed. Others follow a fixed schedule with set start and end dates.

  • Can Individuals from non-technical domains take this data science course?

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    Absolutely. Individuals from non-technical domains can take this Data Science Course. It might be difficult for individuals from non-technical domains, but it can be possible with dedication, concentration, motivation and self-learning; anyone can thrive in a Data Science profession.

Data Science Online Certification Courses

  • What is the benefit of enroling in an online Data Science Certification Course?

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    Data Science online courses offer a convenient and flexible way to enhance your knowledge or learn new data science skills

  • Are there practical applications and projects in online Data Science Courses?

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    Digital Regenesys online Data Science Certification Course includes Capstone projects and real-world applications. These practical components allow learners to apply their knowledge to solve actual problems, enhancing their practical skills.

  • What Career Opportunities are Available After Completing an online Data Science Certification?

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    Completing Data Science online courses can open doors to various career opportunities, including roles such as Data Scientist, Data Engineer, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, and more.

FAQ

  • Data Science Courses
    icon Faq
  • Eligibility and Enrolment
    icon Faq
  • Tools Covered
    icon Faq
  • Duration and Accessibility
    icon Faq
  • Data Science Online Certification Courses
    icon Faq

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 48-week course 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:

TopicsCurriculum
Basic Data Science
Add-on Modules
  • R-Programming Language
  • MongoDB (DBMS)
General Modules
  • Python Programming
  • MySQL (DBMS)
Complimentary Modules
  • Math for Data Science
  • Excel
  • ChatGPT Helping Data Scientists Big on their Day-To-Day Life
Business Intelligence Tools
  • Power-BI
  • Tableau
Advanced-Data Science
Add-on Modules
  • Natural Language Processing
  • Computer Vision
  • Time Series Analysis and Forecasting
General Modules
  • Machine Learning & Artificial Intelligence
  • Deep Learning
  • Web development with Flask, Streamlit
Applied Data Science
  • AWS Cloud Computing
  • Big Data - PySpark+Kafka
  • ML Ops

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:

CategoriesToolsDescription
Data Collecting and Preprocessing ToolsTableau, MATLAB, NumPy, SciPyTools for collecting, cleaning, and preparing data for analysis. Tableau visualises data, MATLAB processes it, and NumPy and SciPy handle numerical computations.
Statistical Analysis ToolsJupiter, Excel, pandasThese 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 LanguagesPython, SQLPython is a versatile language for data science, while SQL is used for querying and managing relational databases.
Data Visualisation toolsMatplotlib, SeabornTools 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 APIKerasA user-friendly API for building and training deep learning models, providing a more straightforward interface to TensorFlow.
Machine Learning and Artificial IntelligenceTensorFlowAn 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 RoleAverage SalaryCareer Progression
Data Analyst (Entry-Level)R 355,000With 1-3 years of experience, may progress to Data Scientist or Machine Learning Engineer roles.
Junior Data Scientist (Entry-Level to Mid-Level)R 480,000As experience grows, one may advance to a Data Scientist or specialise in fields like AI or deep learning.
Data Scientist (Mid-Level)R 720,000With 3-5 years of experience, professionals can become Senior Data Scientists or Data Engineers.
Senior Data Scientist (Senior-Level)R 1,000,000Advanced 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:

  • 48-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!

Unlock the power of learning with our cutting - edge online courses, designed to inspire, engage, and transform the way you learn and grow!

South Africa Corporate Office

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165 west Street, Sandton, Johannesburg South Africa, 2031

Nigeria Corporate Office

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8th Floor, Churchgate Tower 2 PC 31 Victoria Island, Nigeria

India Corporate Office

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Proxima Building, Unit 1101 11th Floor, Plot 19, Sector 30 A, Vashi, Navi Mumbai, India, 400705

Kenya Corporate Office

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1203, 12th Floor, GTC Office Tower Intersection of Waiyaki Way, Chiromo Ln, Nairobi, Kenya

Croatia Corporate Office

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SV. Bartula 131, 23000 Kozino, Zadar, Croatia

Uganda Corporate Office

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Arie Tower, 6th Floor, 16 Mackinnon Rd, Kampala, Uganda

Tanzania Corporate Office

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G11 Ground Floor, Kwik Spaces, 1040 Haile Selassie Road, Masaki Dar es Salaam, 16572

Copyright © 2024 | Regenesys (Pty) Ltd | All Rights Reserved

Unlock the power of learning with our cutting - edge online courses, designed to inspire, engage, and transform the way you learn and grow!

South Africa Corporate Office

Location Icon

165 west Street, Sandton, Johannesburg South Africa, 2031

Nigeria Corporate Office

Location Icon

8th Floor, Churchgate Tower 2 PC 31 Victoria Island, Nigeria

India Corporate Office

Location Icon

Proxima Building, Unit 1101 11th Floor, Plot 19, Sector 30 A, Vashi, Navi Mumbai, India, 400705

Kenya Corporate Office

Location Icon

1203, 12th Floor, GTC Office Tower Intersection of Waiyaki Way, Chiromo Ln, Nairobi, Kenya

Croatia Corporate Office

Location Icon

SV. Bartula 131, 23000 Kozino, Zadar, Croatia

Uganda Corporate Office

Location Icon

Arie Tower, 6th Floor, 16 Mackinnon Rd, Kampala, Uganda

Tanzania Corporate Office

Location Icon

G11 Ground Floor, Kwik Spaces, 1040 Haile Selassie Road, Masaki Dar es Salaam, 16572

Copyright © 2024 | Regenesys (Pty) Ltd | All Rights Reserved | Terms & Conditions| Privacy Policy