Course
Introduction to SQL
- BasicSkill Level
- 4.8+
- 42.1K
Learn how to create and query relational databases using SQL in just two hours.
Data Manipulation
Data, AI, and Cloud Courses
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Course
Introduction to Excel
- BasicSkill Level
- 4.6+
- 23.3K
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.
Data Manipulation
Course
Intermediate SQL
- BasicSkill Level
- 4.7+
- 22.7K
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
Data Manipulation
Course
Joining Data in SQL
- BasicSkill Level
- 4.6+
- 22.4K
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
Data Manipulation
Course
Data Manipulation with pandas
- BasicSkill Level
- 4.6+
- 19.2K
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Data Manipulation
Course
Introduction to DAX in Power BI
- BasicSkill Level
- 4.6+
- 13.2K
Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.
Data Manipulation
Course
Data Manipulation in SQL
- BasicSkill Level
- 4.6+
- 11.4K
Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.
Data Manipulation
Course
Joining Data with pandas
- IntermediateSkill Level
- 4.6+
- 8.1K
Learn to combine data from multiple tables by joining data together using pandas.
Data Manipulation
Course
Data Modeling in Power BI
- BasicSkill Level
- 4.7+
- 7K
Learn the key concepts of data modeling on Power BI.
Data Manipulation
Course
Data Transformation in Power BI
- IntermediateSkill Level
- 4.5+
- 5.4K
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
Data Manipulation
Course
DAX Functions in Power BI
- BasicSkill Level
- 4.6+
- 4.9K
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
Data Manipulation
Course
Data Manipulation with dplyr
- BasicSkill Level
- 4.5+
- 4.7K
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Data Manipulation
Course
Functions for Manipulating Data in PostgreSQL
- IntermediateSkill Level
- 4.5+
- 4.7K
Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
Data Manipulation
Course
Intermediate Data Modeling in Power BI
- IntermediateSkill Level
- 4.5+
- 4.6K
Master data modeling in Power BI.
Data Manipulation
Course
Intermediate DAX in Power BI
- IntermediateSkill Level
- 4.6+
- 4.2K
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Data Manipulation
Course
Case Study: HR Analytics in Power BI
- BasicSkill Level
- 4.5+
- 3.9K
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Data Manipulation
Course
Data Connections in Power BI
- BasicSkill Level
- 4.6+
- 3.5K
Discover the different ways you can enhance your Power BI data importing skills.
Data Manipulation
Course
Trend Analysis in Power BI
- IntermediateSkill Level
- 4.6+
- 3.4K
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
Data Manipulation
Course
Deploying and Maintaining Assets in Power BI
- IntermediateSkill Level
- 4.4+
- 3.3K
Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.
Data Manipulation
Course
Introduction to NumPy
- BasicSkill Level
- 4.6+
- 2.8K
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Data Manipulation
Course
Advanced Excel Functions
- IntermediateSkill Level
- 4.6+
- 2.6K
Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.
Data Manipulation
Course
Joining Data with dplyr
- BasicSkill Level
- 4.4+
- 1.8K
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Data Manipulation
Course
Data Analysis in Google Sheets
- BasicSkill Level
- 4.5+
- 1.7K
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
Data Manipulation
Course
Manipulating Time Series Data in Python
- IntermediateSkill Level
- 4.6+
- 1.7K
In this course youll learn the basics of working with time series data.
Data Manipulation
Course
Power Pivot in Excel
- BasicSkill Level
- 4.7+
- 1.7K
Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.
Data Manipulation
Course
Introduction to Sigma
- BasicSkill Level
- 4.8+
- 1.6K
Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.
Data Manipulation
Course
Introduction to SQL Querying with AI
- BasicSkill Level
- 4.6+
- 1.6K
Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.
Data Manipulation
Course
Understanding Excel
- BasicSkill Level
- 4.6+
- 1.6K
Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!
Data Manipulation
Course
Working with Categorical Data in Python
- IntermediateSkill Level
- 4.6+
- 1.5K
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Data Manipulation
Course
Reshaping Data with pandas
- IntermediateSkill Level
- 4.5+
- 1.4K
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
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.