Basic Trainings

This page provides a curated list of essential resources for those starting their journey in data science. Whether you’re looking to learn Python, Excel, R, or delve into foundational data analysis concepts, these beginner-friendly courses and materials will guide you through the basics.

Explore data collection, cleaning, analysis, and visualization techniques that are crucial in data science. Understand the connection between data science and core subjects like statistics, mathematics, and computer science, as well as its role in the broader context of artificial intelligence and machine learning. By the end of these courses, you’ll be equipped with the essential skills needed to begin analyzing and interpreting data.

  • IBM Data Science:
    Data science involves the collection, cleaning, organization, and analysis of data in order to derive valuable insights and make predictions about expected outcomes.
  • Khan Academy – Statistics and Probability:
    A great starting point for learning the basics of statistics and probability, offering easy-to-understand lessons and practice exercises.
  • Coursera – Data Science for Beginners (IBM):
    This course, presented by IBM, introduces foundational concepts in data science, perfect for those stepping into the field for the first time.
  • Google – Data Analytics Certificate:
    A beginner-friendly certificate program offered by Google, focusing on essential data analytics skills.
  • Udemy – Python for Data Science and Machine Learning Bootcamp:
    A great course for those looking to learn data science using Python, covering key concepts and hands-on projects.
  • Data Analysis with Excel for Complete Beginners:
    Learn data analysis from scratch, including an introduction to essential maths and Microsoft Excel.
  • Introduction to Data Science:
    It will cover the fundamental concepts of data science, including data collection, processing, analysis, and visualization. The connection of data science with core sciences such as statistics, mathematics, and computer science will be explored. Additionally, it will emphasize data security, data management, and its relationship with artificial intelligence, while introducing various career paths offered by the field.
  • Introduction to Data Science with R:
    Individuals aiming for a career in data science are equipped with knowledge in essential areas such as basic statistics, data literacy, and statistical programming with R. Those interested in working in fields like artificial intelligence, machine learning, and deep learning are also required to acquire this training to develop foundational skills in statistics and data analysis.