Data Science & Analytics Foundations
Develop a practical foundation in data preparation, exploratory analysis, visualisation, statistics and introductory machine learning.
What you'll learn
Requirements
- No previous professional experience in the subject is required
- A notebook or digital note-taking tool
- Time to complete the practical exercises and final assessment
- Curiosity and a willingness to apply each concept to realistic scenarios
About this course
What is Data Science? Data Science is a field that comprises everything related to data cleansing, preparation, and analysis of both structured and unstructured data . It combines statistics, programming, and domain knowledge to extract meaningful insights from data . What is Data Analytics? Data Analytics involves examining large datasets to identify trends, forecasts, and data visualizations to tell a compelling story through actionable insights . It is often considered a subset of data science . The Key Difference Aspect Data Analyst Data Scientist Primary Focus Understanding what happened Predicting what might happen Core Question "What does this data tell us?" "What will happen next?" Work Product Reports, dashboards, visualizations Models, algorithms, predictions Typical Tools Excel, SQL, Tableau, Power BI Python, R, TensorFlow Education Bachelor's typically sufficient Often requires Master's or PhD What You Will Learn By the end of this 5-day course, you will be able to: Understand the data science lifecycle and key concepts Collect, clean, and prepare data for analysis Perform exploratory data analysis (EDA) Create effective data visualizations Apply basic statistical methods Build simple machine learning models Communicate insights effectively
Free
No payment required