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774 Courses

Course

Customer Segmentation in Python

  • IntermediateSkill Level
  • 4.8+
  • 176 reviews

Learn how to segment customers in Python.

Data Manipulation

4 hours

Course

Introduction to Power Apps

  • BasicSkill Level
  • 4.8+
  • 7 reviews

Build custom business apps without code using Microsoft Power Apps - from blank canvas to published, responsive app.

Artificial Intelligence

3 hours

Course

Scalable AI Models with PyTorch Lightning

  • IntermediateSkill Level
  • 4.8+
  • 120 reviews

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

Artificial Intelligence

3 hours

Course

Factor Analysis in R

  • AdvancedSkill Level
  • 4.7+
  • 163 reviews

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Probability & Statistics

4 hours

Course

Dealing with Missing Data in Python

  • IntermediateSkill Level
  • 4.7+
  • 189 reviews

Learn how to identify, analyze, remove and impute missing data in Python.

Data Manipulation

4 hours

Course

Marketing Analytics in Google Sheets

  • IntermediateSkill Level
  • 4.7+
  • 228 reviews

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Reporting

4 hours

Course

Case Study: Mortgage Trading Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 291 reviews

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

Applied Finance

3 hours

Course

Web Scraping in R

  • IntermediateSkill Level
  • 4.7+
  • 100 reviews

Learn how to efficiently collect and download data from any website using R.

Data Preparation

4 hours

Course

Python for R Users

  • IntermediateSkill Level
  • 4.7+
  • 86 reviews

This course is for R users who want to get up to speed with Python!

Software Development

5 hours

Course

Introduction to Security Principles in Cloud Computing

  • IntermediateSkill Level
  • 4.8+
  • 9 reviews

In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts.

Cloud

18 hours 15 min

Course

Machine Learning with caret in R

  • IntermediateSkill Level
  • 4.8+
  • 45 reviews

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Machine Learning

4 hours

Course

Advanced Probability: Uncertainty in Data

  • AdvancedSkill Level
  • 4.8+
  • 164 reviews

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Probability & Statistics

2 hours

Course

Automating Deployments on AWS

  • IntermediateSkill Level
  • 4.9+
  • 12 reviews

Build CI/CD pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy. Automate blue/green and canary releases, and define infrastructure with CloudFormation.

Cloud

3 hours

Course

Image Modeling with Keras

  • AdvancedSkill Level
  • 4.8+
  • 92 reviews

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

Artificial Intelligence

4 hours

Course

Writing Efficient Code with pandas

  • IntermediateSkill Level
  • 4.7+
  • 163 reviews

Learn efficient techniques in pandas to optimize your Python code.

Software Development

4 hours

Course

Programming Paradigm Concepts

  • BasicSkill Level
  • 4.8+
  • 144 reviews

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Software Development

2 hours

Course

Categorical Data in the Tidyverse

  • BasicSkill Level
  • 4.8+
  • 177 reviews

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Data Manipulation

4 hours

Course

Financial Modeling in Google Sheets

  • IntermediateSkill Level
  • 4.7+
  • 278 reviews

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

Applied Finance

4 hours

Course

Analyzing Financial Statements in Python

  • IntermediateSkill Level
  • 4.6+
  • 116 reviews

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

Applied Finance

4 hours

Course

GARCH Models in Python

  • IntermediateSkill Level
  • 4.8+
  • 199 reviews

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

Applied Finance

4 hours

Course

Monitoring and Troubleshooting AWS

  • IntermediateSkill Level
  • 4.8+
  • 13 reviews

Monitor and troubleshoot AWS apps with Amazon CloudWatch and AWS X-Ray. Collect metrics and logs, build dashboards, set alarms, and trace requests.

Cloud

3 hours

Course

Marketing Analytics in Tableau

  • IntermediateSkill Level
  • 4.8+
  • 90 reviews

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Data Preparation

6 hours

Course

Google Cloud Fundamentals: Core Infrastructure

  • BasicSkill Level
  • 4.8+
  • 22 reviews

Learn Google Cloud essentials including computing, storage, networking, and resource management through videos and hands-on labs in this foundational course.

Cloud

5 hours

Course

Visualizing Geospatial Data in R

  • IntermediateSkill Level
  • 4.5+
  • 89 reviews

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Data Visualization

4 hours

Course

Generalized Linear Models in R

  • IntermediateSkill Level
  • 4.8+
  • 200 reviews

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Probability & Statistics

4 hours

Course

Machine Learning in the Tidyverse

  • IntermediateSkill Level
  • 4.8+
  • 119 reviews

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Machine Learning

5 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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