Data Analytics for Beginners Course
Welcome! In this five-step course, you’ll take on the role of a data analyst to analyze a real dataset. You’ll learn about the key steps in the data analysis process—from data cleaning and exploratory analysis, all the way through to creating visualizations and sharing your insights. Each tutorial includes some essential theory, a practical task, and a short quiz. If you enjoy what you learn, a career in data analytics could be a good fit for you. After completing the short course, you can talk to a program advisor at CareerFoundry to learn more about our full Data Analytics Program, and how you could make a career change to tech.
An Introduction to Data Analytics
What is data analytics, and what does a data analyst actually do? In this tutorial, we outline the key steps in the data analysis process and explore data analytics as a career path (including industry outlook and salary data). You’ll also open up your dataset, ready to get hands-on in the following tutorial.
What is data analytics, and what does a data analyst actually do? In this tutorial, we outline the key steps in the data analysis process and explore data analytics as a career path (including industry outlook and salary data). You’ll also open up your dataset, ready to get hands-on in the following tutorial.
An Introduction to Data Cleaning
In this tutorial, we introduce one of the most important steps in the data analysis process: Data cleaning. You’ll learn all about “dirty” data, as well as some common data cleaning techniques. You’ll then clean your dataset, ready for analysis.
In this tutorial, we introduce one of the most important steps in the data analysis process: Data cleaning. You’ll learn all about “dirty” data, as well as some common data cleaning techniques. You’ll then clean your dataset, ready for analysis.
Descriptive Statistics and Exploratory Data Analysis
It’s time to analyze your data to uncover those valuable insights! In this tutorial, we explain two core concepts: descriptive statistics and exploratory data analysis. You’ll then calculate descriptive stats for your dataset and create pivot tables.
It’s time to analyze your data to uncover those valuable insights! In this tutorial, we explain two core concepts: descriptive statistics and exploratory data analysis. You’ll then calculate descriptive stats for your dataset and create pivot tables.
An Introduction to Data Visualization
Data visualization is an extremely powerful tool for data analysts, and in this tutorial, you’ll learn exactly why. We’ll introduce different types of data visualizations, then you’ll create your own!
Data visualization is an extremely powerful tool for data analysts, and in this tutorial, you’ll learn exactly why. We’ll introduce different types of data visualizations, then you’ll create your own!
Storytelling with Data
In this fifth and final tutorial, you’ll master the art of data storytelling—gathering all the key insights from your analysis, turning them into actionable solutions, and compiling your data story into a presentation.
In this fifth and final tutorial, you’ll master the art of data storytelling—gathering all the key insights from your analysis, turning them into actionable solutions, and compiling your data story into a presentation.
Data Analytics for Beginners Course
Achieve over 70% in our final test to access a 5% discount on our full career-change program!
Take The TestAchieve over 70% in our final test to access a 5% discount on our full career-change program!
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