Course
Parallel Programming with Dask in Python
- IntermediateSkill Level
- 4.8+
- 62 reviews
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
Software Development
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771 Courses
Course
Dimensionality Reduction in R
- BasicSkill Level
- 4.7+
- 97 reviews
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Machine Learning
Course
Case Studies: Building Web Applications with Shiny in R
- IntermediateSkill Level
- 4.9+
- 16 reviews
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Reporting
Course
ChIP-seq with Bioconductor in R
- IntermediateSkill Level
- 4.7+
- 50 reviews
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
Probability & Statistics
Course
Google DeepMind: Represent Your Language Data
- IntermediateSkill Level
- 4.8+
- 19 reviews
In this Google DeepMind course you will learn how to prepare text data for language models to process.
Cloud
Course
Google Workspace End User: Google Slides
- BasicSkill Level
- 4.9+
- 17 reviews
With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more.
Cloud
Course
Joining Data with data.table in R
- IntermediateSkill Level
- 4.8+
- 73 reviews
This course will show you how to combine and merge datasets with data.table.
Data Manipulation
Course
Life Insurance Products Valuation in R
- BasicSkill Level
- 4.8+
- 48 reviews
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Applied Finance
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Monitoring and troubleshooting AWS
- IntermediateSkill Level
- 4.7+
- 9 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
Course
Case Study: Ecommerce Analysis in Tableau
- IntermediateSkill Level
- 4.7+
- 65 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
Analyzing Survey Data in Python
- IntermediateSkill Level
- 4.6+
- 53 reviews
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
Probability & Statistics
Course
Google Workspace End User: Google Drive
- BasicSkill Level
- 4.9+
- 14 reviews
Learn to upload, organize, share, and manage files and folders in Google Drive from any device.
Cloud
Course
Observability in Google Cloud
- BasicSkill Level
- 4.9+
- 20 reviews
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.
Cloud
Course
Hyperparameter Tuning in R
- AdvancedSkill Level
- 4.8+
- 59 reviews
Learn how to tune your models hyperparameters to get the best predictive results.
Machine Learning
Course
Intermediate Regular Expressions in R
- IntermediateSkill Level
- 4.8+
- 34 reviews
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Software Development
Course
Choice Modeling for Marketing in R
- AdvancedSkill Level
- 4.8+
- 42 reviews
Learn to analyze and model customer choice data in R.
Probability & Statistics
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Deploying Applications on AWS
- IntermediateSkill Level
- 4.8+
- 10 reviews
Deploy, secure, and operate apps on AWS with Lambda, API Gateway, Cognito, IAM, CloudWatch, and X-Ray. Hands-on prep for the DVA-C02 exam.
Cloud
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Pandas Joins for Spreadsheet Users
- IntermediateSkill Level
- 4.7+
- 55 reviews
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Data Manipulation
Course
Google Workspace End User: Google Sheets
- BasicSkill Level
- 4.8+
- 15 reviews
Learn to create and edit spreadsheets in Google Sheets, work with data, build formulas, and collaborate in real time.
Cloud
Course
Google Workspace End User: Google Calendar
- BasicSkill Level
- 4.8+
- 15 reviews
Learn to create and manage events, schedule meetings, share calendars, and use tasks and reminders to stay organized.
Cloud
Course
Intermediate Predictive Analytics in Python
- BasicSkill Level
- 4.7+
- 74 reviews
Learn how to prepare and organize your data for predictive analytics.
Machine Learning
Course
Sentiment Analysis in R
- IntermediateSkill Level
- 4.7+
- 96 reviews
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
Machine Learning
Course
Scalable Data Processing in R
- AdvancedSkill Level
- 4.7+
- 25 reviews
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Software Development
Course
Google Workspace End User: Google Docs
- BasicSkill Level
- 4.8+
- 15 reviews
Learn to create, format, and collaborate on documents in real time using Google Docs, stored securely in the cloud.
Cloud
Course
Build a Certification Study Guide: ACE Exam Prep
- BasicSkill Level
- 4.7+
- 13 reviews
Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE).
Cloud
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Loan Amortization in Google Sheets
- IntermediateSkill Level
- 4.7+
- 49 reviews
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Applied Finance
Course
Defensive R Programming
- IntermediateSkill Level
- 4.8+
- 78 reviews
Learn defensive programming in R to make your code more robust.
Software Development
Course
Visualizing Big Data with Trelliscope in R
- BasicSkill Level
- 4.7+
- 43 reviews
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Data Visualization
Course
Automating Deployments on AWS
- IntermediateSkill Level
- 5
- 5 reviews
Build CI/CD pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy. Automate blue/green and canary releases, and define infrastructure with CloudFormation.
Cloud
Course
Case Study: Analyzing Fitness Data in Alteryx
- IntermediateSkill Level
- 4.8+
- 56 reviews
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
Data Preparation
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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