Course
Intermediate Julia
- BasicSkill Level
- 4.7+
- 64
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
Software Development
Data, AI, and Cloud Courses
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Course
Parallel Programming in R
- IntermediateSkill Level
- 4.7+
- 63
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
Software Development
Course
Intermediate Regular Expressions in R
- IntermediateSkill Level
- 4.9+
- 59
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Software Development
Course
Defensive R Programming
- IntermediateSkill Level
- 4.9+
- 58
Learn defensive programming in R to make your code more robust.
Software Development
Course
Forecasting Product Demand in R
- IntermediateSkill Level
- 4.7+
- 58
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.
Probability & Statistics
Course
Analyzing US Census Data in R
- IntermediateSkill Level
- 4.9+
- 57
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.
Exploratory Data Analysis
Course
Machine Translation with Keras
- AdvancedSkill Level
- 4.8+
- 55
Are you curious about the inner workings of the models that are behind products like Google Translate?
Artificial Intelligence
Course
Introduction to Anomaly Detection in R
- IntermediateSkill Level
- 4.8+
- 53
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Probability & Statistics
Course
Optimizing R Code with Rcpp
- IntermediateSkill Level
- 4.9+
- 47
Use C++ to dramatically boost the performance of your R code.
Software Development
Course
Google DeepMind: Discover The Transformer Architecture
- IntermediateSkill Level
- 4.8+
- 45
In this Google DeepMind course you will discover the mechanisms of the transformer architecture.
Cloud
Course
Probability Puzzles in R
- BasicSkill Level
- 4.8+
- 43
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
Probability & Statistics
Course
Visualizing Big Data with Trelliscope in R
- BasicSkill Level
- 4.8+
- 42
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Data Visualization
Course
Select a Google Cloud Database for Your Applications
- BasicSkill Level
- 4.9+
- 37
In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud.
Cloud
Course
Snowflake Architecture
- BasicSkill Level
- 4.7+
- 32
Master Snowflakes three-layer architecture and build the mental model you need to work effectively in Snowflake.
Course
Google DeepMind: Fine-Tune Your Model
- IntermediateSkill Level
- 4.8+
- 31
Unleash the power of language models with fine-tuning. In this course, you will learn how to adjust a pre-trained model to a specific task.
Cloud
Course
Predictive Analytics using Networked Data in R
- IntermediateSkill Level
- 4.8+
- 30
Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network
Probability & Statistics
Course
Google DeepMind: Represent Your Language Data
- IntermediateSkill Level
- 4.8+
- 25
In this Google DeepMind course you will learn how to prepare text data for language models to process.
Cloud
Course
Intermediate SQL
- BasicSkill Level
- 4.9+
- 20.3K
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
Data Manipulation
Course
Intermediate Python for Developers
- BasicSkill Level
- 4.8+
- 6.7K
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!
Software Development
Course
Data Visualization in Excel
- BasicSkill Level
- 4.8+
- 5.2K
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.
Data Visualization
Course
DAX Functions in Power BI
- BasicSkill Level
- 4.8+
- 4.3K
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
Data Manipulation
Course
Understanding Microsoft Azure
- BasicSkill Level
- 4.8+
- 2.8K
Learn about the power of Microsoft Azure and cloud computing software to help you improve your data engineering skills.
Cloud
Course
Natural Language Processing (NLP) in Python
- IntermediateSkill Level
- 4.9+
- 2K
Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.
Artificial Intelligence
Course
Databricks Concepts
- BasicSkill Level
- 4.8+
- 1.5K
Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.
Data Engineering
Course
Gemini in Google Slides
- BasicSkill Level
- 4.8+
- 471
Create impactful presentations faster with Gemini in Google Slides. Use AI-powered design and suggestions to build professional, engaging slides in minutes.
Artificial Intelligence
Course
Gemini in Google Drive
- BasicSkill Level
- 4.8+
- 416
Organize and manage files with Gemini in Google Drive. Use AI-powered search to quickly find information, streamline collaboration, and boost productivity.
Artificial Intelligence
Course
Case Study: Exploratory Data Analysis in R
- BasicSkill Level
- 4.9+
- 270
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
Exploratory Data Analysis
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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