Course
Improving Your Data Visualizations in Python
- IntermediateSkill Level
- 4.8+
- 377
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Data Visualization
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Course
Introduction to Python in Power BI
- IntermediateSkill Level
- 4.8+
- 363
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
Data Manipulation
Course
Object-Oriented Programming with S3 and R6 in R
- AdvancedSkill Level
- 4.8+
- 323
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Software Development
Course
Python for Spreadsheet Users
- BasicSkill Level
- 4.9+
- 173
Use your knowledge of common spreadsheet functions and techniques to explore Python!
Software Development
Course
Optimizing R Code with Rcpp
- IntermediateSkill Level
- 4.9+
- 60
Use C++ to dramatically boost the performance of your R code.
Software Development
Course
Introduction to Natural Language Processing in R
- IntermediateSkill Level
- 4.8+
- 135
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Machine Learning
Data Management
Course
Data Types and Exceptions in Java
- IntermediateSkill Level
- 4.8+
- 807
Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!
Software Development
Course
Joining Data in SQL
- BasicSkill Level
- 4.8+
- 21.1K
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
Data Manipulation
Course
Intermediate Python for Developers
- BasicSkill Level
- 4.8+
- 7.5K
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!
Software Development
Course
Introduction to Relational Databases in SQL
- BasicSkill Level
- 4.8+
- 6.3K
Learn how to create one of the most efficient ways of storing data - relational databases!
Software Development
Course
Intermediate Git
- BasicSkill Level
- 4.8+
- 5.2K
Discover branches and remote repos for version control in collaborative software and data projects using Git!
Software Development
Course
Introduction to Object-Oriented Programming in Python
- IntermediateSkill Level
- 4.8+
- 3.1K
Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!
Software Development
Course
Introduction to SQL Querying with AI
- BasicSkill Level
- 4.8+
- 1.6K
Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.
Data Manipulation
Course
Working with Categorical Data in Python
- IntermediateSkill Level
- 4.8+
- 1.5K
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Data Manipulation
Course
Vibe Coding with Replit
- BasicSkill Level
- 4.9+
- 1.3K
Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.
Artificial Intelligence
Course
Creating PostgreSQL Databases
- BasicSkill Level
- 4.8+
- 1K
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.
Data Preparation
Course
Intermediate Object-Oriented Programming in Python
- AdvancedSkill Level
- 4.8+
- 827
Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!
Software Development
Course
Introduction to Data Quality with Great Expectations
- IntermediateSkill Level
- 4.8+
- 393
Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.
Data Engineering
Course
Data Fluency
- BasicSkill Level
- 4.8+
- 338
Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.
Data Literacy
Course
Conditional Formatting in Google Sheets
- BasicSkill Level
- 4.8+
- 190
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
Data Manipulation
Course
Monitor and Troubleshoot Azure Solutions
- IntermediateSkill Level
- 4.7+
- 176
Learn how to monitor, diagnose, and optimize Azure applications using Azure Monitor, Application Insights, and Log Analytics.
Cloud
Course
Parallel Programming with Dask in Python
- IntermediateSkill Level
- 4.8+
- 118
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
Software Development
Course
Introduction to ChatGPT
- BasicSkill Level
- 4.8+
- 5.7K
Unlock the power of ChatGPT with better prompts, accurate responses, and safe AI use. Improve efficiency and get the most from AI conversations!
Artificial Intelligence
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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