Course
Reshaping Data with tidyr
- IntermediateSkill Level
- 4.8+
- 453 reviews
Transform almost any dataset into a tidy format to make analysis easier.
Data Manipulation
Data, AI, and Cloud Courses
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73 Courses
Course
Introduction to Databases in Python
- IntermediateSkill Level
- 4.7+
- 268 reviews
In this course, youll learn the basics of relational databases and how to interact with them.
Data Manipulation
Course
Data Transformation in Alteryx
- BasicSkill Level
- 4.8+
- 764 reviews
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
Data Manipulation
Course
Pivot Tables in Google Sheets
- BasicSkill Level
- 4.8+
- 215 reviews
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.
Data Manipulation
Course
Data Manipulation in Alteryx
- BasicSkill Level
- 4.8+
- 628 reviews
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Data Manipulation
Course
Manipulating Time Series Data in R
- IntermediateSkill Level
- 4.8+
- 283 reviews
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Data Manipulation
Course
Reshaping Data with pandas
- IntermediateSkill Level
- 4.7+
- 784 reviews
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
Data Manipulation
Course
Introduction to Oracle SQL
- BasicSkill Level
- 4.8+
- 246 reviews
Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.
Data Manipulation
Course
Biomedical Image Analysis in Python
- IntermediateSkill Level
- 4.8+
- 233 reviews
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Data Manipulation
Course
Intermediate SQL Querying with AI
- BasicSkill Level
- 4.8+
- 227 reviews
Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.
Data Manipulation
Course
Data Types and Functions in Snowflake
- IntermediateSkill Level
- 4.8+
- 492 reviews
Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.
Data Manipulation
Course
Introduction to Spark SQL in Python
- AdvancedSkill Level
- 4.7+
- 148 reviews
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Data Manipulation
Course
Introduction to Polars
- BasicSkill Level
- 4.8+
- 392 reviews
Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.
Data Manipulation
Course
Working with Geospatial Data in Python
- IntermediateSkill Level
- 4.8+
- 275 reviews
This course will show you how to integrate spatial data into your Python Data Science workflow.
Data Manipulation
Course
Window Functions in Snowflake
- IntermediateSkill Level
- 4.8+
- 495 reviews
Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.
Data Manipulation
Course
Spoken Language Processing in Python
- AdvancedSkill Level
- 4.8+
- 262 reviews
Learn how to load, transform, and transcribe speech from raw audio files in Python.
Data Manipulation
Course
Calculations in Sigma
- BasicSkill Level
- 4.9+
- 141 reviews
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.
Data Manipulation
Course
Introduction to Text Analysis in R
- IntermediateSkill Level
- 4.8+
- 62 reviews
Analyze text data in R using the tidy framework.
Data Manipulation
Course
Case Study: Analyzing Job Market Data in Power BI
- BasicSkill Level
- 4.8+
- 319 reviews
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!
Data Manipulation
Course
Data Processing in Shell
- IntermediateSkill Level
- 4.8+
- 493 reviews
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
Data Manipulation
Course
Feature Engineering with PySpark
- AdvancedSkill Level
- 4.8+
- 287 reviews
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
Data Manipulation
Course
Dealing with Missing Data in Python
- IntermediateSkill Level
- 4.8+
- 178 reviews
Learn how to identify, analyze, remove and impute missing data in Python.
Data Manipulation
Course
Time Series Analysis in SQL Server
- IntermediateSkill Level
- 4.7+
- 364 reviews
Explore ways to work with date and time data in SQL Server for time series analysis
Data Manipulation
Course
Introduction to Python in Power BI
- IntermediateSkill Level
- 4.8+
- 143 reviews
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
Data Manipulation
Course
Functions for Manipulating Data in SQL Server
- IntermediateSkill Level
- 4.9+
- 94 reviews
Learn the most important functions for manipulating, processing, and transforming data in SQL Server.
Data Manipulation
Course
Data Transformation with Polars
- IntermediateSkill Level
- 4.9+
- 37 reviews
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.
Data Manipulation
Course
Customer Segmentation in Python
- IntermediateSkill Level
- 4.8+
- 167 reviews
Learn how to segment customers in Python.
Data Manipulation
Course
Categorical Data in the Tidyverse
- BasicSkill Level
- 4.7+
- 168 reviews
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.
Data Manipulation
Course
Analyzing IoT Data in Python
- IntermediateSkill Level
- 4.8+
- 104 reviews
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
Data Manipulation
Course
Handling Missing Data with Imputations in R
- AdvancedSkill Level
- 4.7+
- 103 reviews
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
Data Manipulation
FAQs
What is data science?
Data science is an area of expertise focused on gaining information from data. Using programming skills, scientific methods, algorithms, and more, data scientists analyze data to form actionable insights.
How can I learn data science?
You’ll need to learn a programming language such as Python or R and master the principles of math and statistics. Knowledge of data analysis methods and data science tools is also essential. There are many ways to learn data science. As well as formal means of education, such as a degree or university study, there are plenty of other resources to help you learn at your own pace. As well as online courses and tutorials, there are books, videos, and more.
What skills are required for data science?
As well as knowledge of mathematics and statistics, data scientists need programming skills in languages such as Python, R, and SQL. Additionally, data science requires the ability to work with large data sets, knowledge of data visualization, data wrangling, and database management. Skills in machine learning and deep learning can also be useful.
What can I use data science for?
In a professional capacity, almost every industry can use data science to some degree. Healthcare organizations use data science to detect and cure diseases, while finance companies use it to detect and prevent fraud. All kinds of industries use data science for marketing, such as building recommendation systems and analyzing customer churn.
Is data science a good career?
Yes, data science is among the fastest-growing sectors in the US and worldwide. It’s also one of the best-paid careers out there. According to data from Payscale, experience data scientists earn an average of $97,609 and have a satisfaction rating of four stars out of five in the US.
Is it difficult to become a data scientist?
There are a few things to consider here. First, data science degrees can be competitive to get onto, often requiring consistently high grades. Similarly, many of the skills required for data science require a lot of study and patience. It can take several months to master all of the necessary basics, as well as a lot of practical experience to secure an entry-level position.
Does data science require coding?
Yes, you’ll need some coding experience in languages such as Python, R, SQL, Java, and C/C++. However, due to its relatively simple syntax, Python programming language is often the preferred choice among newcomers.
How long does it take to become a data scientist?
For a person with no prior coding experience and/or mathematical background, it can typically take 7 to 12 months of intensive studies to be at the level of an entry-level data scientist. However, it is important to remember that learning only the theoretical basis of data science may not make you a real data scientist.
What topics can I study within data science?
Once you’ve mastered the foundations of data science, you can then specialize in a variety of areas, including machine learning, artificial intelligence, big data analysis, business analytics and intelligence, data mining, and more.
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