Data Analysis with Excel

2 hours

15 chapters

Data Analysis with Excel provides a practical guide to mastering the most essential data management, manipulation, and analysis techniques using Microsoft Excel. You'll gain proficiency in Excel's powerful capabilities, progressing through data analysis methods, and creating dynamic visualizations and interactive dashboards. By the end, you'll learn to automate reporting and apply advanced analytics, equipping you to make informed, data-driven decisions efficiently.

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Excel for Beginners

4 hours

49 chapters

Dive into the world of Excel with this comprehensive video course, designed to take you from basic navigation to mastering functions and basic data analysis. Starting with foundational skills like data entry and cell formatting, you'll quickly progress to using powerful tools. Whether you're organizing large datasets, performing statistical analysis, or creating dynamic charts, this course equips you with the practical skills needed in today’s data-driven environment.

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Exploratory Data Analysis of Nobel Prizes

1 hour

6 chapters

We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.

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Excel for Finance

3 hours

22 chapters

This advanced course will guide you from preparing raw data for analysis to building an automated dashboard. You will learn how to calculate the Profits & Losses for a small business, "The Artisan Bakery". Dive deep into the essentials of business analytics with practical, real-world applications and transform data into insightful, actionable outcomes.

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Recognizing Handwritten Digits

2 hours

10 chapters

In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.

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Ultimate Visualization with Python

3 hours

26 chapters

Data is everywhere around us and making sense of it is extremely important. Visulization helps us deal with data by finding certain patterns and insights in it. We will develop a solid foundation of data visualization using Python and its libraries, such as matplotlib and seaborn, to get as much information from data as possible in a neat and concise way. Without further ado, let's dive in!

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Web Scraping with Python

3 hours

23 chapters

Web Scraping is a process that can be used to automatically extract information from websites. This course will help you to get the data from sources for further manipulation and analysis!

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First Dive into seaborn Visualization

2 hours

17 chapters

Together we will make the first dive into visualization based on a seaborn library. We will learn how to build simple plots and how to customize them. You will cope faster with tasks if you know something about pandas. Do not hesitate, and let's go!

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Deep Dive into the seaborn Visualization

3 hours

23 chapters

Welcome! Do you remember the seaborn professional teacher seal? And he wants to learn together at an Intermediate level of the Seaborn! Don't hesitate! Let's go!

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Gaining Insights with Data Visualization

1 hour

10 chapters

In this project, we are going to understand the meaning of Data Visualization and its powers.

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Visualization in Python with matplotlib

4 hours

34 chapters

Visualization is one of the most common ways of representing data. By using different kinds of plots (like scatter-plot, histogram, bar charts, and so on) you can find some insights in your data, or approve/reject some assumption/hypothesis. In this course, you will be introduced to the matplotlib library, and learn how to build different charts.

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