Course
Cluster Analysis in R
- IntermediateSkill Level
- 4.8+
- 71 reviews
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
Data, AI, and Cloud Courses
Master skills that matterFollow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
- Learn at your own pace
- Get hands-on experience
- Complete bite-sized chapters
Create Your Free Account
Continue with GoogleShow more optionsor
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
305 Courses
Course
Dealing With Missing Data in R
- BasicSkill Level
- 4.7+
- 141 reviews
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.
Data Preparation
Course
Time Series Analysis in Power BI
- IntermediateSkill Level
- 4.7+
- 270 reviews
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
Introduction to Network Analysis in Python
- IntermediateSkill Level
- 4.7+
- 219 reviews
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Probability & Statistics
Course
Introduction to Text Analysis in R
- IntermediateSkill Level
- 4.8+
- 62 reviews
Analyze text data in R using the tidy framework.
Data Manipulation
Course
Case Study: Ecommerce Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 205 reviews
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.
Data Visualization
Course
Baseball Data Visualization in Power BI
- BasicSkill Level
- 4.8+
- 195 reviews
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
Case Study: Competitor Sales Analysis in Power BI
- IntermediateSkill Level
- 4.7+
- 158 reviews
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
Survival Analysis in R
- IntermediateSkill Level
- 4.7+
- 196 reviews
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
Case Study: Inventory Analysis in Power BI
- IntermediateSkill Level
- 4.7+
- 170 reviews
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
Data Visualization
Course
Visualizing Time Series Data in R
- IntermediateSkill Level
- 4.8+
- 180 reviews
Learn how to visualize time series in R, then practice with a stock-picking case study.
Data Visualization
Course
Network Analysis in R
- IntermediateSkill Level
- 4.7+
- 122 reviews
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.
Probability & Statistics
Course
Analyzing IoT Data in Python
- IntermediateSkill Level
- 4.8+
- 108 reviews
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
Data Manipulation
Course
Advanced Probability: Uncertainty in Data
- AdvancedSkill Level
- 4.8+
- 153 reviews
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.
Probability & Statistics
Course
Introduction to Portfolio Analysis in R
- BasicSkill Level
- 4.7+
- 148 reviews
Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.
Applied Finance
Course
Communicating with Data in the Tidyverse
- BasicSkill Level
- 4.8+
- 196 reviews
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
Data Visualization
Course
Visualizing Geospatial Data in R
- IntermediateSkill Level
- 4.5+
- 86 reviews
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
Data Visualization
Course
Time Series Analysis in Tableau
- IntermediateSkill Level
- 4.7+
- 158 reviews
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
- 4.7+
- 72 reviews
Use survival analysis to work with time-to-event data and predict survival time.
Probability & Statistics
Course
Data Manipulation with data.table in R
- BasicSkill Level
- 4.6+
- 21 reviews
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
Data Manipulation
Course
Conquering Data Bias
- BasicSkill Level
- 4.7+
- 220 reviews
Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.
Data Management
Course
Cleaning Data in Java
- IntermediateSkill Level
- 4.8+
- 64 reviews
Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.
Importing & Cleaning Data
Course
Time Series Analysis in PostgreSQL
- IntermediateSkill Level
- 4.8+
- 93 reviews
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
Data Manipulation
Course
Sentiment Analysis in R
- IntermediateSkill Level
- 4.7+
- 95 reviews
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
Machine Learning
Course
Differential Expression Analysis with limma in R
- AdvancedSkill Level
- 4.7+
- 54 reviews
Learn to use the Bioconductor package limma for differential gene expression analysis.
Probability & Statistics
Course
Case Study: Ecommerce Analysis in Tableau
- IntermediateSkill Level
- 4.7+
- 64 reviews
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
Course
Intermediate Network Analysis in Python
- AdvancedSkill Level
- 4.8+
- 79 reviews
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Probability & Statistics
Course
Case Study: Inventory Analysis in Tableau
- IntermediateSkill Level
- 4.7+
- 64 reviews
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Data Visualization
Course
Joining Data with data.table in R
- IntermediateSkill Level
- 4.8+
- 72 reviews
This course will show you how to combine and merge datasets with data.table.
Data Manipulation
Course
Pandas Joins for Spreadsheet Users
- IntermediateSkill Level
- 4.7+
- 54 reviews
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Data Manipulation
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.