Data analytics involves the process of examining, cleaning, transforming, and modeling data to uncover useful information, draw conclusions, and support decision-making. With its wide range of tools and techniques, data analytics enables organizations to gain valuable insights from their data and improve performance across various sectors.
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SQL for beginners
Anonymous
In this course you will learn the basics of SQL for total beginners while coding.
21 Lessons
21 Challenges
Introduction to R
Anonymous
This course provides a comprehensive introduction to R programming fundamentals. Students will learn basic syntax, data types, control structures, and built-in functions.
21 Lessons
21 Challenges
SQL for intermediate
Anonymous
In this course you will learn how to calculate meaningful statistics and how to handle data of multiple RDBMS tables.
16 Lessons
15 Challenges
Numpy Fundamentals
Anonymous
Learn to master powerful numerical computations in Python for data science with this concise, hands-on course.
18 Lessons
17 Challenges
SQL Challenges pack #1
Anonymous
In this course you will challenge yourself with SQL problems.
3 Lessons
3 Challenges
Data Manipulation in R
Anonymous
Learn how to efficiently manipulate and transform data using R's built-in functions, base packages and supported packages. Topics include subsetting, merging, reshaping, and aggregating data.
14 Lessons
12 Challenges
Pandas Analytics
Anonymous
In this course you will learn how to handle tables in python using pandas
19 Lessons
18 Challenges
SQL Challenges pack #2
Anonymous
In this course you will challenge yourself with SQL problems.
3 Lessons
3 Challenges
SQL for advanced
Anonymous
In this course we will dive deeper into how to run complicated queries such as sequential based queries, functions and more.
13 Lessons
12 Challenges
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