Data Analytics for Beginners Course

Welcome to your data analytics short course. In this course, you’ll take on the role of a data analyst to analyze a real dataset. In the space of five tutorials, 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. By the end of the course, you’ll have turned raw data into actionable insights, just as you would in the real world. Each tutorial will start with some essential theory, then have you applying what you’ve learned with a practical task. At the end of each lesson, you’ll consolidate your learnings with a short quiz. Ready to get hands-on with data analysis? Let’s go!

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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.

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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.

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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.

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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!

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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.

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Data Analytics for Beginners Course

Achieve over 70% in our final test to access a 5% discount on our full career-change program!

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Achieve over 70% in our final test to access a 5% discount on our full career-change program!

Take The Test