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697 Courses

Course

Data Visualization in Power BI

  • BasicSkill Level
  • 4.8+
  • 9,182 reviews

Power BI is a powerful data visualization tool that can be used in reports and dashboards.

Data Visualization

3 hours

Course

Introduction to Statistics

  • BasicSkill Level
  • 4.8+
  • 8,162 reviews

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

Probability & Statistics

4 hours

Course

Introduction to Tableau

  • BasicSkill Level
  • 4.8+
  • 4,921 reviews

Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

Data Visualization

6 hours

Course

Communicating Data Insights

  • BasicSkill Level
  • 4.8+
  • 8,255 reviews

Data-driven organizations consistently rely on insights to inspire action and drive change.

Data Literacy

2 hours

Course

Introduction to Microsoft Copilot

  • BasicSkill Level
  • 4.7+
  • 3,520 reviews

Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.

Artificial Intelligence

1 hour

Course

Introduction to Statistics in Python

  • IntermediateSkill Level
  • 4.7+
  • 7,703 reviews

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

Probability & Statistics

4 hours

Course

Joining Data with pandas

  • IntermediateSkill Level
  • 4.8+
  • 8,446 reviews

Learn to combine data from multiple tables by joining data together using pandas.

Data Manipulation

4 hours

Course

Data Preparation in Excel

  • BasicSkill Level
  • 4.8+
  • 6,208 reviews

Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.

Data Preparation

3 hours

Course

Generative AI for Business

  • BasicSkill Level
  • 4.7+
  • 8,098 reviews

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

Artificial Intelligence

1 hour

Course

Claude Code 101

  • BasicSkill Level
  • 4.8+
  • 285 reviews

Learn how to use Claude Code effectively in your daily development workflows.

Artificial Intelligence

3 hours

Course

Intermediate Python for Developers

  • BasicSkill Level
  • 4.8+
  • 7,301 reviews

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Software Development

2 hours

Course

Exploratory Data Analysis in SQL

  • IntermediateSkill Level
  • 4.7+
  • 4,324 reviews

Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.

Exploratory Data Analysis

4 hours

Course

Introduction to the Tidyverse

  • BasicSkill Level
  • 4.8+
  • 1,093 reviews

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

4 hours

Course

Introduction to Deep Learning with PyTorch

  • IntermediateSkill Level
  • 4.8+
  • 4,184 reviews

Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.

Artificial Intelligence

4 hours

Course

Introduction to Claude Models

  • IntermediateSkill Level
  • 4.8+
  • 472 reviews

Learn how to work with Claude using the Anthropic API to solve real-world tasks and build AI-powered applications.

Other

3 hours

Course

Data Preparation in Power BI

  • BasicSkill Level
  • 4.8+
  • 7,459 reviews

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

3 hours

Course

Data Modeling in Power BI

  • BasicSkill Level
  • 4.8+
  • 6,628 reviews

Learn the key concepts of data modeling on Power BI.

Data Manipulation

3 hours

Course

Exploratory Data Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 6,728 reviews

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Exploratory Data Analysis

4 hours

Course

Case Study: Analyzing Customer Churn in Power BI

  • BasicSkill Level
  • 4.8+
  • 6,348 reviews

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

3 hours

Course

Intermediate R

  • BasicSkill Level
  • 4.8+
  • 924 reviews

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Software Development

6 hours

Course

Database Design

  • BasicSkill Level
  • 4.7+
  • 7,036 reviews

Learn to design databases in SQL to process, store, and organize data in a more efficient way.

Data Engineering

4 hours

Course

Introduction to Databricks

  • BasicSkill Level
  • 4.7+
  • 3,021 reviews

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.

Data Engineering

3 hours

Course

Working with Microsoft Copilot

  • BasicSkill Level
  • 4.7+
  • 478 reviews

Learn to work with Microsoft Copilot. Master prompting, navigate Microsoft 365 apps, and build custom agents.

Artificial Intelligence

2 hours

Course

Introduction to ChatGPT

  • BasicSkill Level
  • 4.8+
  • 5,178 reviews

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

1 hour

Course

Data Visualization in Excel

  • BasicSkill Level
  • 4.8+
  • 3,925 reviews

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

3 hours

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.

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.