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726 Courses

Course

Understanding Microsoft Azure Management and Governance

  • BasicSkill Level
  • 4.8+
  • 1,251 reviews

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

Cloud

2 hours

Course

Deploying AI into Production with FastAPI

  • AdvancedSkill Level
  • 4.8+
  • 389 reviews

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

Artificial Intelligence

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

Regular Expressions in Python

  • BasicSkill Level
  • 4.7+
  • 187 reviews

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

Software Development

4 hours

Course

Model Validation in Python

  • IntermediateSkill Level
  • 4.8+
  • 830 reviews

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

Machine Learning

4 hours

Course

AI for Consulting

  • BasicSkill Level
  • 4.8+
  • 124 reviews

Discover how AI can take your consulting work to the next level! Research, analyze, and communicate more productively and effectively.

Artificial Intelligence

3 hours

Course

Microsoft Copilot in Word

  • BasicSkill Level
  • 4.8+
  • 122 reviews

Master Microsoft Copilot in Word to write faster, understand documents instantly, and collaborate more effectively.

Artificial Intelligence

3 hours

Course

Data Manipulation in Snowflake

  • BasicSkill Level
  • 4.8+
  • 968 reviews

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

Data Manipulation

2 hours

Course

Introduction to KNIME

  • BasicSkill Level
  • 4.8+
  • 528 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

ARIMA Models in R

  • BasicSkill Level
  • 4.8+
  • 305 reviews

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

Probability & Statistics

4 hours

Course

Reshaping Data with tidyr

  • IntermediateSkill Level
  • 4.8+
  • 452 reviews

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

Data Manipulation

4 hours

Course

AI for Marketing

  • BasicSkill Level
  • 4.7+
  • 150 reviews

Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.

Artificial Intelligence

3 hours

Course

Connecting Data in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,100 reviews

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Data Preparation

3 hours

Course

Reporting in SQL

  • IntermediateSkill Level
  • 4.8+
  • 777 reviews

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

Reporting

4 hours

Course

Introduction to MongoDB in Python

  • IntermediateSkill Level
  • 4.7+
  • 359 reviews

Learn to manipulate and analyze flexibly structured data with MongoDB.

Data Engineering

3 hours

Course

Cleaning Data with PySpark

  • AdvancedSkill Level
  • 4.7+
  • 466 reviews

Learn how to clean data with Apache Spark in Python.

Data Preparation

4 hours

Course

Data Visualization in Tableau

  • BasicSkill Level
  • 4.8+
  • 802 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

Course

Reshaping Data with pandas

  • IntermediateSkill Level
  • 4.7+
  • 782 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

CI/CD for Machine Learning

  • AdvancedSkill Level
  • 4.7+
  • 367 reviews

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

Machine Learning

5 hours

Course

Input/Output and Streams in Java

  • IntermediateSkill Level
  • 4.8+
  • 373 reviews

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

Software Development

4 hours

Course

Machine Learning with PySpark

  • AdvancedSkill Level
  • 4.8+
  • 689 reviews

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

Machine Learning

4 hours

Course

Credit Risk Modeling in Python

  • IntermediateSkill Level
  • 4.7+
  • 273 reviews

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Applied Finance

4 hours

Course

Time Series Analysis in R

  • IntermediateSkill Level
  • 4.8+
  • 88 reviews

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

Probability & Statistics

4 hours

Course

Introduction to Databases in Python

  • IntermediateSkill Level
  • 4.7+
  • 264 reviews

In this course, youll learn the basics of relational databases and how to interact with them.

Data Manipulation

4 hours

Course

Understanding GDPR

  • BasicSkill Level
  • 4.8+
  • 496 reviews

Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.

Data Literacy

1 hour

Course

Hyperparameter Tuning in Python

  • IntermediateSkill Level
  • 4.8+
  • 781 reviews

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Machine Learning

4 hours

Course

Data Transformation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 752 reviews

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Data Manipulation

2 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.

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