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722 Courses

Course

Cleaning Data in R

  • IntermediateSkill Level
  • 4.7+
  • 765 reviews

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Data Preparation

4 hours

Course

Gemini in Google Slides

  • BasicSkill Level
  • 4.8+
  • 263 reviews

Create impactful presentations faster with Gemini in Google Slides. Use AI-powered design and suggestions to build professional, engaging slides in minutes.

Artificial Intelligence

30 min

Course

Azure App Services

  • IntermediateSkill Level
  • 4.7+
  • 113 reviews

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

Cloud

3 hours

Course

Introduction to Bash Scripting

  • IntermediateSkill Level
  • 4.8+
  • 455 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

Create Engaging Video with Google Vids

  • BasicSkill Level
  • 4.9+
  • 247 reviews

Create and refine videos faster with Gemini in Google Vids. Use AI-powered storyboarding and content generation to produce polished videos with ease.

Cloud

30 min

Course

Microsoft Copilot in PowerPoint

  • BasicSkill Level
  • 4.7+
  • 91 reviews

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

Artificial Intelligence

2 hours

Course

Introduction to Apache Kafka

  • IntermediateSkill Level
  • 4.7+
  • 844 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

Introduction to BigQuery

  • IntermediateSkill Level
  • 4.8+
  • 422 reviews

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Data Engineering

4 hours

Course

Introduction to NoSQL

  • BasicSkill Level
  • 4.8+
  • 774 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

Data Management in Databricks

  • BasicSkill Level
  • 4.7+
  • 791 reviews

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

Data Management

3 hours

Course

MLOps Deployment and Life Cycling

  • AdvancedSkill Level
  • 4.7+
  • 845 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

Developing Python Packages

  • IntermediateSkill Level
  • 4.7+
  • 893 reviews

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

Software Development

4 hours

Course

Intermediate SQL Server

  • IntermediateSkill Level
  • 4.8+
  • 223 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

Analyzing Marketing Campaigns with pandas

  • BasicSkill Level
  • 4.7+
  • 404 reviews

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

Exploratory Data Analysis

4 hours

Course

Data Types and Exceptions in Java

  • IntermediateSkill Level
  • 4.8+
  • 519 reviews

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Software Development

4 hours

Course

Case Study: Analyzing Customer Churn in Tableau

  • BasicSkill Level
  • 4.8+
  • 922 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

Cluster Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 953 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

Artificial Intelligence Governance

  • BasicSkill Level
  • 4.8+
  • 532 reviews

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

Artificial Intelligence

2 hours

Course

Sampling in R

  • IntermediateSkill Level
  • 4.7+
  • 814 reviews

Master sampling to get more accurate statistics with less data.

Probability & Statistics

4 hours

Course

Gemini in Google Meet

  • BasicSkill Level
  • 4.9+
  • 260 reviews

Enhance virtual meetings with Gemini in Google Meet. Leverage AI-driven summaries, notes, and tools to make every meeting more efficient and actionable.

Artificial Intelligence

30 min

Course

Creating PostgreSQL Databases

  • BasicSkill Level
  • 4.8+
  • 599 reviews

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

Data Preparation

4 hours

Course

Regular Expressions in Python

  • BasicSkill Level
  • 4.7+
  • 186 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+
  • 135 reviews

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

Software Development

4 hours

Course

Gemini in Gmail

  • BasicSkill Level
  • 4.8+
  • 202 reviews

Artificial Intelligence

30 min

Course

Introduction to Databricks Lakehouse

  • BasicSkill Level
  • 4.7+
  • 108 reviews

Explore the Databricks Lakehouse - from medallion architecture and clusters to governance, sharing, and deployment.

Data Engineering

3 hours

Course

End-to-End Machine Learning

  • IntermediateSkill Level
  • 4.7+
  • 339 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

Gen AI: Beyond the Chatbot

  • BasicSkill Level
  • 4.8+
  • 110 reviews

This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization.

Cloud

1 hour 30 min

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.