Data, AI, and Cloud Courses

Master skills that matter

292 Courses

Course

Biomedical Image Analysis in Python

IntermediateSkill Level
4.6+
586

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Data Manipulation

Course

Sentiment Analysis in Python

IntermediateSkill Level
4.5+
578

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Machine Learning

Course

Conquering Data Bias

BasicSkill Level
4.7+
493

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

Data Management

Course

Data Manipulation with data.table in R

BasicSkill Level
4.3+
473

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

Data Manipulation

Course

Introduction to Portfolio Analysis in Python

AdvancedSkill Level
4.6+
434

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Applied Finance

Course

Case Study: Analyzing Job Market Data in Tableau

BasicSkill Level
4.5+
432

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

Data Visualization

Course

Cluster Analysis in R

IntermediateSkill Level
4.9+
418

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Machine Learning

Course

Visualizing Time Series Data in R

IntermediateSkill Level
4.7+
390

Learn how to visualize time series in R, then practice with a stock-picking case study.

Data Visualization

Course

Time Series Analysis in Power BI

IntermediateSkill Level
4.4+
384

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Data Visualization

Course

Baseball Data Visualization in Power BI

BasicSkill Level
4.7+
353

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Data Visualization

Course

Introduction to Network Analysis in Python

IntermediateSkill Level
4.7+
353

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Probability & Statistics

Course

Case Study: Inventory Analysis in Power BI

IntermediateSkill Level
4.7+
351

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Data Visualization

Course

Improving Your Data Visualizations in Python

IntermediateSkill Level
4.4+
341

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

Data Visualization

Course

Case Study: Ecommerce Analysis in Power BI

IntermediateSkill Level
4.8+
332

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Data Visualization

Course

Data Modeling in Sigma

BasicSkill Level
4.7+
318

Stop rewriting the same joins and calculations, and dive into well-governed, scalable analytics using Sigma data models.

Reporting

Course

Introduction to Portfolio Analysis in R

BasicSkill Level
4.6+
301

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Applied Finance

Course

Case Study: Competitor Sales Analysis in Power BI

IntermediateSkill Level
4.7+
280

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

Data Visualization

Course

Factor Analysis in R

AdvancedSkill Level
4.7+
255

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

Probability & Statistics

Course

Advanced Probability: Uncertainty in Data

AdvancedSkill Level
4.6+
247

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

Probability & Statistics

Course

Visualizing Geospatial Data in R

IntermediateSkill Level
4.4+
246

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

Data Visualization

Course

Survival Analysis in R

IntermediateSkill Level
4.8+
244

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Probability & Statistics

Course

Joining Data with data.table in R

IntermediateSkill Level
4.2+
233

This course will show you how to combine and merge datasets with data.table.

Data Manipulation

Course

Time Series Analysis in Tableau

IntermediateSkill Level
4.3+
217

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Data Visualization

Course

Survival Analysis in Python

AdvancedSkill Level
4.6+
206

Use survival analysis to work with time-to-event data and predict survival time.

Probability & Statistics

Course

Time Series Analysis in PostgreSQL

IntermediateSkill Level
4.7+
192

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

Data Manipulation

Course

Network Analysis in R

IntermediateSkill Level
4.7+
185

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Probability & Statistics

Course

Differential Expression Analysis with limma in R

AdvancedSkill Level
4.5+
153

Learn to use the Bioconductor package limma for differential gene expression analysis.

Probability & Statistics

Course

Sentiment Analysis in R

IntermediateSkill Level
4.6+
147

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

Machine Learning

Course

Pandas Joins for Spreadsheet Users

IntermediateSkill Level
4.5+
137

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

Data Manipulation

Course

Case Study: Ecommerce Analysis in Tableau

IntermediateSkill Level
4.2+
112

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Data Visualization

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.