• The Institution of

    Data Scientists and Analysts

    PROMOTING SKILLS & EDUCATION IN DATA SCIENCE, ALGORITHM INTELLIGENCE & MACHINE LEARNING

    About us Become A Member
  • Foremost professionals in

    Data Science and Analytics

    Machine Learning and Artificial Intelligence

    About us Become a Member
  • Social Good through

    Artificial Intelligence and Machine Learning

    About us Join Us
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Professional Membership

IDSA peer reviewed professional membership is recognised by leading international organisations. IDSA membership validates your skills, knowledge and experience and can help you take the next steps in your career.

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Register of Fellows

IDSA honours individuals who have made outstanding contributions to the development of data science, data analytics, artificial intelligence, machine learning, and software development and information technology across the globe.

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IDSA Global

If you are outside Africa Region, you can apply for membership of the Institution of Data Scientists and Analysts using global website for all categories of membership. We will gladly welcome you on board!

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10 Million Data Science/Tech Experts

IDSA Digital Skills for Africa

Our program is designed for IT and non-IT professionals who are interested to transition their career into data science, analytics, machine learning and artificial intelligence

The Institution of Data Scientists and Analysts (IDSA) through our partners provide opportunities for over 10 million interested individuals across Africa to get needed skills and necessary knowledge to succeed in today’s information, entrepreneurial and knowledge economy. Our free courses, programs and resources are from industry experts and reputable institutions across the globe.

Register Now »
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10+

Partners

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8+

project support

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500+

Membership

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6+

locations

Competence and Skills

Discover new relations
and realise new possibilities

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Statistical Techniques

General statistical analysis techniques and their use for data inspection, exploration, analysis and visualisation (as supporting activity for more complex data analysis)

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Computational Thinking

Apply information technology, computational thinking, and utilize programming languages and software and hardware solutions for data analysis.

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Programming Languages

Use general and specialised statistical and data analysis programming languages and tools to develop specialised data analysis processes and applications.

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Data Visualization

Create and communicate compelling and actionable insights from data using visualization and presentation tools and technologies.

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Data Management

Data collection, data entry and annotation, data preparation, data and files versioning, Data Management Plan (DMP), metadata, Open Data, data repositories

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Research Methods

Create new understandings and capabilities by using the scientific method to discover new approaches to create new knowledge and achieve business goals

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Delivers new capabilities

Bringing transformative benefits
to organizations, businesses and societies

What’s the difference between data science, artificial intelligence, and machine learning?

To better understand data science—and how you can harness it—it’s equally important to know other terms related to the field, such as artificial intelligence (AI) and machine learning. Often, you’ll find that these terms are used interchangeably, but there are nuances. Here’s a simple breakdown:

  • AI means getting a computer to mimic human behaviour in some way.
  • Data science is a subset of AI, and it refers more to the overlapping areas of statistics, scientific methods, and data analysis—all of which are used to extract meaning and insights from data.
  • Machine learning is another subset of AI, and it consists of the techniques that enable computers to figure things out from the data and deliver AI applications.

How data science is transforming business

Organizations are using data science to turn data into a competitive advantage by refining products and services. Data science and machine learning use cases include:

  • Determine customer churn by analyzing data collected from call centers, so marketing can take action to retain them.
  • Improve efficiency by analyzing traffic patterns, weather conditions, and other factors so logistics companies can improve delivery speeds and reduce costs.
  • Improve sales by creating recommendations for customers based upon previous purchases.
  • Detect fraud in financial services by recognizing suspicious behaviours and anomalous actions.

Tools for Data Science

Building, evaluating, deploying, and monitoring machine learning models can be a complex process. That’s why there’s been an increase in the number of data science tools. Data scientists use many types of tools, but one of the most common is open source notebooks.

  • Some of the most popular notebooks are Jupyter, RStudio, and Zeppelin. Notebooks are very useful for conducting analysis, but have their limitations when data scientists need to work as a team. Data science platforms were built to solve this problem.
  • To determine which data science tool is right for you, it’s important to ask the following questions: What kind of languages do your data scientists use? What kind of working methods do they prefer? What kind of data sources are they using?

Membership Categories

IDSA membership validates your
skills, knowledge and experience

  • All
  • Fellowship
  • Membership
  • Associate
  • Student
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Membership
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Expert-level
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Upcoming Event

UN World Data Forum

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Hangzhou China - 24 to 27 April 2023

The aim of the UN World Data Forum is to spur data innovation, nurture partnerships, mobilize high-level political and financial support for data, and build a pathway to better data for sustainable development.

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Fellowship

IDSA honours individuals who have made outstanding contributions to the development of data science, data analytics, artificial intelligence, machine learning, and software development and information technology in Nigeria, Africa and across the globe. There are three different categories of fellowship of the Institution of Data Scientists and Analyst.

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Excellent service & support!!

Understand how to improve data quality, security, privacy, and governance. Know how to embed analytics in your organisation culture – supporting every action, business process and decision.

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IDSA partners Python Institute

We are excited to be part of the OpenEDG Academy Program as we show our commitment to technology education and empower a million young Africans over the years with the most popular programming languages in the world, Python and begin the implementation #TechSkill4Africans Project.

Our blog

Some of our latest blog posts

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04 Aug

Data Science Definition

Data science combines multiple fields, including statistics, scientific methods, and data analysis, to extract value from data. Those who practice data science are called data scientists, and they combine a range of skills to analyze data collected from the web, smartphones, customers, sensors, and other sources. Data science is an untapped resource for machine learning. It is one of the most exciting fields...

By: Admin | 21 February 2022
28 Jul

How data science is transforming business

By: Admin | 28 July 2022
01 Aug

Tools for Data Science

By: Admin | 01 August 2022
03 Aug

How to Become a Data Scientist

By: 'Gbenga Adeleye | 03 August 2022

Developing Your Skill in Data Science

Our program is designed for IT and non-IT professionals

  • advantage1

    Be ready to practice data science

    IDSA courses are designed to prepare students for real commercial work in the area of data science, AI and big data.

  • advantage1

    Receive the best training

    IDSA trainers are actively working in the industry and will teach you how to practice data science and advanced analytics.

  • advantage1

    Get more support and guidance

    The member network offers support and guidance from mentors and direct connections to the industry. You will meet employers in-person at IDSA events.

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