Course
Introduction to Tableau
- BasicSkill Level
- 4.7+
- 10.7K
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.
Data Visualization
Data, AI, and Cloud Courses
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Course
Generative AI Concepts
- BasicSkill Level
- 4.6+
- 9.7K
Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.
Artificial Intelligence
Course
Introduction to Statistics
- BasicSkill Level
- 4.6+
- 9.7K
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!
Probability & Statistics
Course
Introduction to Statistics in Python
- IntermediateSkill Level
- 4.5+
- 8.7K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
Probability & Statistics
Course
Data Preparation in Excel
- BasicSkill Level
- 4.6+
- 8.5K
Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.
Data Preparation
Course
Introduction to the Tidyverse
- BasicSkill Level
- 4.7+
- 8.3K
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
Software Development
Course
Joining Data with pandas
- IntermediateSkill Level
- 4.6+
- 8.2K
Learn to combine data from multiple tables by joining data together using pandas.
Data Manipulation
Course
Intermediate R
- BasicSkill Level
- 4.5+
- 8.1K
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
Software Development
Course
Communicating Data Insights
- BasicSkill Level
- 4.6+
- 8K
Data-driven organizations consistently rely on insights to inspire action and drive change.
Data Literacy
Course
Introduction to Microsoft Copilot
- BasicSkill Level
- 4.5+
- 7.8K
Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.
Artificial Intelligence
Course
Introduction to Deep Learning with PyTorch
- IntermediateSkill Level
- 4.6+
- 7.8K
Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.
Artificial Intelligence
Course
Understanding Data Visualization
- BasicSkill Level
- 4.6+
- 7.7K
An introduction to data visualization with no coding involved.
Data Visualization
Course
Exploratory Data Analysis in Python
- IntermediateSkill Level
- 4.6+
- 7.7K
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
Exploratory Data Analysis
Course
Intermediate Python for Developers
- BasicSkill Level
- 4.7+
- 7.6K
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!
Software Development
Course
Exploratory Data Analysis in SQL
- IntermediateSkill Level
- 4.4+
- 7.5K
Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.
Exploratory Data Analysis
Course
Data Preparation in Power BI
- BasicSkill Level
- 4.7+
- 7.2K
In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.
Data Preparation
Course
Case Study: Analyzing Customer Churn in Power BI
- BasicSkill Level
- 4.6+
- 7K
You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.
Data Visualization
Course
Data Modeling in Power BI
- BasicSkill Level
- 4.7+
- 6.9K
Learn the key concepts of data modeling on Power BI.
Data Manipulation
Course
Introduction to Snowflake
- BasicSkill Level
- 4.6+
- 6.6K
Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.
Data Warehouse
Course
Database Design
- BasicSkill Level
- 4.6+
- 6.5K
Learn to design databases in SQL to process, store, and organize data in a more efficient way.
Data Engineering
Course
Introduction to Data Visualization with Seaborn
- BasicSkill Level
- 4.6+
- 6.4K
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Data Visualization
Course
Introduction to Relational Databases in SQL
- BasicSkill Level
- 4.7+
- 6.3K
Learn how to create one of the most efficient ways of storing data - relational databases!
Software Development
Course
Generative AI for Business
- BasicSkill Level
- 4.5+
- 6.3K
Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.
Artificial Intelligence
Course
Introduction to Data Visualization with ggplot2
- BasicSkill Level
- 4.3+
- 6.2K
Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
Data Visualization
Course
Introduction to Data Visualization with Matplotlib
- BasicSkill Level
- 4.5+
- 6K
Learn how to create, customize, and share data visualizations using Matplotlib.
Data Visualization
Course
PostgreSQL Summary Stats and Window Functions
- IntermediateSkill Level
- 4.6+
- 5.8K
Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!
Software Development
Course
Introduction to Databricks
- BasicSkill Level
- 4.6+
- 5.7K
Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.
Data Engineering
Course
Data Visualization in Excel
- BasicSkill Level
- 4.6+
- 5.7K
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.
Data Visualization
Course
Introduction to ChatGPT
- BasicSkill Level
- 4.5+
- 5.7K
Unlock the power of ChatGPT with better prompts, accurate responses, and safe AI use. Improve efficiency and get the most from AI conversations!
Artificial Intelligence
Course
Prompt Engineering with the OpenAI API
- BasicSkill Level
- 4.5+
- 5.7K
Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
Artificial Intelligence
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.