Overview

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Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers. You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pipelines. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you’ll be able to understand the fundamentals of the data analysis process including gathering, cleaning, analyzing and sharing data and communicating your insights with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, and provide a real-world scenario of data analysis tasks. This course does not require any prior data analysis, spreadsheet, or computer science experience.

Syllabus

What is Data Analytics
- This module introduces the foundations of data analytics and the role it plays within a modern data ecosystem. You will explore the different types of data analysis, the key steps in the data analysis process, and the roles performed by various data professionals. The module also examines the responsibilities, skills, and typical activities that define the work of a data analyst.
The Data Ecosystem
- This module explores the structure and components of the modern data ecosystem. You will examine different data structures, sources, and file formats, along with repositories such as databases, data warehouses, and data lakes. The module also introduces ETL processes, programming languages used by data professionals, and the foundations of big data and its processing tools.
Gathering and Wrangling Data
- This module focuses on the processes used to identify, collect, and prepare data for analysis. You will learn how data is gathered and imported from different sources and how data wrangling techniques help transform raw data into analysis-ready datasets. The module also introduces common tools, techniques, and best practices used for data cleaning and preparation.
Mining & Visualizing Data and Communicating Results
- This module explores how statistical analysis and data mining techniques are used to uncover patterns, trends, and relationships in data. You will examine tools and methods used to analyze data and generate meaningful insights. The module also introduces data visualization and storytelling techniques used to communicate analytical findings effectively.
Career Opportunities and Data Analysis in Action
- This module explores career pathways and skill development opportunities for aspiring data analysts. You will apply key data analysis processes—including gathering, wrangling, analyzing, and visualizing data—through a practical case study. The module concludes with a final project that allows you to demonstrate your understanding of the end-to-end data analysis workflow.