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670 Courses

Course

Data-Driven Decision Making for Business

  • BasicSkill Level
  • 4.6+
  • 1.3K

Discover how to make better business decisions by applying practical data frameworks—no coding required.

Leadership

2 hours

Course

Data Science for Business

  • BasicSkill Level
  • 4.7+
  • 1.3K

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Data Literacy

2 hours

Course

DevOps Concepts

  • BasicSkill Level
  • 4.6+
  • 1.3K

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

Software Development

4 hours

Course

AI for Finance

  • BasicSkill Level
  • 4.6+
  • 1.3K

Apply AI in finance to analyze data, prompt effectively, and automate workflows for better decisions.

Artificial Intelligence

3 hours

Course

AWS Security and Cost Management Concepts

  • BasicSkill Level
  • 4.6+
  • 1.3K

Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.

Cloud

3 hours

Course

Cluster Analysis in Python

  • IntermediateSkill Level
  • 4.6+
  • 1.3K

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

Data Management Concepts

  • BasicSkill Level
  • 4.6+
  • 1.3K

Master the key concepts of data management, from life cycle stages to security and governance.

Data Management

2 hours

Course

Introduction to Natural Language Processing in Python

  • IntermediateSkill Level
  • 4.6+
  • 1.2K

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

Machine Learning

4 hours

Course

Introduction to MLflow

  • AdvancedSkill Level
  • 4.6+
  • 1.2K

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

Machine Learning

4 hours

Course

Cleaning Data in R

  • IntermediateSkill Level
  • 4.4+
  • 1.2K

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

Introduction to BigQuery

  • IntermediateSkill Level
  • 4.5+
  • 1.2K

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

Data Engineering

4 hours

Course

Introduction to Writing Functions in R

  • BasicSkill Level
  • 4.3+
  • 1.2K

Take your R skills up a notch by learning to write efficient, reusable functions.

Software Development

4 hours

Course

Reinforcement Learning with Gymnasium in Python

  • AdvancedSkill Level
  • 4.5+
  • 1.2K

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

Artificial Intelligence

4 hours

Course

Intermediate Docker

  • IntermediateSkill Level
  • 4.5+
  • 1.2K

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

Software Development

4 hours

Course

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.5+
  • 1.2K

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Probability & Statistics

4 hours

Course

Experimental Design in Python

  • IntermediateSkill Level
  • 4.6+
  • 1.2K

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

Probability & Statistics

4 hours

Course

Supervised Learning in R: Classification

  • IntermediateSkill Level
  • 4.7+
  • 1.2K

In this course you will learn the basics of machine learning for classification.

Machine Learning

4 hours

Course

Creating PostgreSQL Databases

  • BasicSkill Level
  • 4.6+
  • 1.2K

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

Data Preparation

4 hours

Course

Reshaping Data with tidyr

  • IntermediateSkill Level
  • 4.3+
  • 1.2K

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

Data Manipulation

4 hours

Course

Transformer Models with PyTorch

  • AdvancedSkill Level
  • 4.5+
  • 1.2K

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

Artificial Intelligence

2 hours

Course

Writing Efficient R Code

  • IntermediateSkill Level
  • 4.6+
  • 1.2K

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

Software Development

4 hours

Course

Data Visualization in Tableau

  • BasicSkill Level
  • 4.5+
  • 1.2K

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

Data Manipulation in Snowflake

  • BasicSkill Level
  • 4.7+
  • 1.2K

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

Data Manipulation

2 hours

Course

Introduction to R for Finance

  • BasicSkill Level
  • 4.6+
  • 1.2K

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Applied Finance

4 hours

Course

Introduction to Data Visualization with Plotly in Python

  • BasicSkill Level
  • 4.6+
  • 1.1K

Create interactive data visualizations in Python using Plotly.

Data Visualization

4 hours

Course

Explainable AI in Python

  • IntermediateSkill Level
  • 4.6+
  • 1.1K

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

Artificial Intelligence

4 hours

Course

Extreme Gradient Boosting with XGBoost

  • IntermediateSkill Level
  • 4.7+
  • 1.1K

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Machine Learning

4 hours

Course

Responsible AI Data Management

  • IntermediateSkill Level
  • 4.5+
  • 1.1K

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

Artificial Intelligence

1 hour

Course

Introduction to KNIME

  • BasicSkill Level
  • 4.3+
  • 1.1K

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

Introduction to Bash Scripting

  • IntermediateSkill Level
  • 4.7+
  • 1.1K

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

Software Development

4 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.