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711 Courses

Course

Sampling in R

  • IntermediateSkill Level
  • 4.7+
  • 804 reviews

Master sampling to get more accurate statistics with less data.

Probability & Statistics

4 hours

Course

Cluster Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 937 reviews

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Machine Learning

4 hours

Course

Developing Python Packages

  • IntermediateSkill Level
  • 4.7+
  • 880 reviews

Learn to create your own Python packages to make your code easier to use and share with others.

Software Development

4 hours

Course

Case Study: Analyzing Customer Churn in Tableau

  • BasicSkill Level
  • 4.8+
  • 915 reviews

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

Data Visualization

3 hours

Course

Analyzing Marketing Campaigns with pandas

  • BasicSkill Level
  • 4.7+
  • 398 reviews

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

Exploratory Data Analysis

4 hours

Course

Introduction to Bash Scripting

  • IntermediateSkill Level
  • 4.8+
  • 439 reviews

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Software Development

4 hours

Course

Regular Expressions in Python

  • BasicSkill Level
  • 4.7+
  • 180 reviews

Learn about string manipulation and become a master at using regular expressions.

Software Development

4 hours

Course

Writing Efficient R Code

  • IntermediateSkill Level
  • 4.7+
  • 134 reviews

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Software Development

4 hours

Course

Introduction to Apache Kafka

  • IntermediateSkill Level
  • 4.7+
  • 825 reviews

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Data Engineering

2 hours

Course

Artificial Intelligence Governance

  • BasicSkill Level
  • 4.8+
  • 513 reviews

Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.

Artificial Intelligence

2 hours

Course

Reshaping Data with tidyr

  • IntermediateSkill Level
  • 4.8+
  • 446 reviews

Transform almost any dataset into a tidy format to make analysis easier.

Data Manipulation

4 hours

Course

Azure App Services

  • IntermediateSkill Level
  • 4.7+
  • 98 reviews

Build and deploy scalable web apps and serverless functions in Azure while mastering security, monitoring, and automation.

Cloud

3 hours

Course

Creating PostgreSQL Databases

  • BasicSkill Level
  • 4.8+
  • 589 reviews

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Data Preparation

4 hours

Course

Model Validation in Python

  • IntermediateSkill Level
  • 4.8+
  • 809 reviews

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Machine Learning

4 hours

Course

Introduction to NoSQL

  • BasicSkill Level
  • 4.8+
  • 756 reviews

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Data Engineering

4 hours

Course

Reshaping Data with pandas

  • IntermediateSkill Level
  • 4.7+
  • 767 reviews

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Data Manipulation

4 hours

Course

Microsoft Copilot in PowerPoint

  • BasicSkill Level
  • 4.7+
  • 75 reviews

Build PowerPoint presentations with Microsoft Copilot. Turn documents into slides, generate visuals, and speaker notes.

Artificial Intelligence

2 hours

Course

Intermediate SQL Server

  • IntermediateSkill Level
  • 4.8+
  • 219 reviews

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Software Development

4 hours

Course

MLOps Deployment and Life Cycling

  • AdvancedSkill Level
  • 4.7+
  • 821 reviews

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Machine Learning

4 hours

Course

Software Development with Windsurf

  • IntermediateSkill Level
  • 4.8+
  • 317 reviews

Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.

Artificial Intelligence

1 hour 30 min

Course

Introduction to KNIME

  • BasicSkill Level
  • 4.8+
  • 510 reviews

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Data Preparation

3 hours

Course

Data Management in Databricks

  • BasicSkill Level
  • 4.7+
  • 750 reviews

Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.

Data Management

3 hours

Course

ARIMA Models in R

  • BasicSkill Level
  • 4.8+
  • 299 reviews

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Probability & Statistics

4 hours

Course

End-to-End Machine Learning

  • IntermediateSkill Level
  • 4.7+
  • 336 reviews

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Machine Learning

4 hours

Course

Time Series Analysis in R

  • IntermediateSkill Level
  • 4.8+
  • 84 reviews

Learn the core techniques necessary to extract meaningful insights from time series data.

Probability & Statistics

4 hours

Course

Data Visualization in Tableau

  • BasicSkill Level
  • 4.7+
  • 790 reviews

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Data Visualization

6 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.