General statistical analysis techniques and their use for data inspection, exploration, analysis and visualisation (as supporting activity for more complex data analysis)MORE
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.MORE
If you believe you already have the requisite education, skills and experience to qualify as a professional in your chosen field, you can register for certification and upload evidence of your experience and qualifications.MORE
If you are not yet ready for certification, we have identified a learning path of online courses with our partners, which are mapped to our requirements for qualification. Should you choose to expand your skills and knowledge...MORE
The Institution of Data Scientists and Analysts is a professional and membership-based organization for data scientists, data analysts, data engineers, academics and individuals who show interest in the field. The Institution serves its members, develop and advance the profession of data science, Artificial Intelligence, Machine Learning and Data Analytics, increasing diversity, and advancing ethical data science in Nigeria, Africa and across the globe.Read More »
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:
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:
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.
The second #Data4Peace Workshop on December 1-2, 2021 "Emerging Technologies in Peacebuilding and Prevention, Lesson Learned from Humanitarian Actors", hosted virtually at the New York University Center on International Cooperation. Focus include the HDX and the OCHA's Centre for Humanitarian Data.
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.
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.
Geared to strengthening data visualization and storytelling skills, this short course is designed and delivered in partnership with Vizlogue, Data Visualization and Storytelling Lab. Highly interactive and practical, this short course will expose participants to real-world examples and exercises tailored to the UN context.
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...
IDSA courses are designed to prepare students for real commercial work in the area of data science, AI and big data.
IDSA trainers are actively working in the industry and will teach you how to practice data science and advanced analytics.
The member network offers support and guidance from mentors and direct connections to the industry. You will meet employers in-person at IDSA events.