Linear Regression with Python

Introduction to Product Analysis with Python

2 horas

14 capítulos

In the world of business, making decisions based on hard data rather than intuition can be the key to success. This course focuses on one crucial technique: analyzing A/B test data. The centerpiece of the course is a project where you'll conduct a detailed analysis of an A/B test. This project, which you can showcase in your CV, is hosted on Codefinity, allowing you to continually refine it and demonstrate your growing expertise.

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Data Analysis with Excel

1 hora

11 capítulos

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

1 hora

15 capítulos

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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Intermediate SQL

3 horas

25 capítulos

This course is perfect for those who already have a basic understanding of SQL and want to delve into more advanced concepts to craft more powerful queries. Throughout the course, you will become familiar with data grouping and filtering grouped data. You will also learn how to work with multiple tables simultaneously, including how to combine them. Additionally, you will explore different types of table joins and how to apply them in practice.

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Pandas First Steps

4 horas

34 capítulos

Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.

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Excel Formulas

1 hora

14 capítulos

This course is designed for beginners who want to start exploring formulas in Excel. You'll begin with the basics and then discover some really useful formulas for daily use. You'll learn about array formulas and how they work, and you'll also dive into Lookup and Reference functions.

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Exploratory Data Analysis of Nobel Prizes

1 hora

6 capítulos

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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Introduction to Power BI

3 horas

32 capítulos

Power BI is an essential tool for any aspiring data analyst or business professional. Learn how to transform raw data into insightful visualizations and interactive dashboards, connect to various data sources, and create compelling reports for informed decision-making.

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Excel for Business Automation

2 horas

12 capítulos

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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Text Summarization with TF-ISF

2 horas

12 capítulos

In this project, we aim to design and implement a text summarizer utilizing the Python programming language as our foundational tool. To achieve this, we will be leveraging the powerful Natural Language Toolkit which is instrumental in the processing and analysis of textual data.

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NumPy in a Nutshell

3 horas

21 capítulos

NumPy is one of the basic packages for scientific computing in Python. The 'NumPy in a Nutshell' course will introduce you to such a powerful tool as NumPy, which is convenient for working with arrays of different sizes. After completing this course, you will be able to easily work with matrices, using various functions. In addition, during the course, you will learn basic methods for working with arrays that simplify code writing.

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Python Loops Tutorial

2 horas

22 capítulos

Python provides three ways for executing the loops. While all the ways provide similar basic functionality, they differ in their syntax and condition checking time. Today we start learning these loops. Welcome to Python Loops Tutorial!

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