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670 Courses

Course

Case Study: Analyzing City Time Series Data in R

  • IntermediateSkill Level
  • 4.8+
  • 242

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

Probability & Statistics

4 hours

Course

Gemini in Google Drive

  • BasicSkill Level
  • 4.7+
  • 242

Organize and manage files with Gemini in Google Drive. Use AI-powered search to quickly find information, streamline collaboration, and boost productivity.

Artificial Intelligence

1 hour

Course

Inference for Linear Regression in R

  • AdvancedSkill Level
  • 4.4+
  • 241

In this course youll learn how to perform inference using linear models.

Probability & Statistics

4 hours

Course

Introduction to Business Valuation

  • BasicSkill Level
  • 4.8+
  • 239

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

Applied Finance

3 hours

Course

Gemini in Google Meet

  • BasicSkill Level
  • 4.7+
  • 237

Enhance virtual meetings with Gemini in Google Meet. Leverage AI-driven summaries, notes, and tools to make every meeting more efficient and actionable.

Artificial Intelligence

1 hour

Course

Error and Uncertainty in Google Sheets

  • IntermediateSkill Level
  • 4.5+
  • 232

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Probability & Statistics

4 hours

Course

Python for R Users

  • IntermediateSkill Level
  • 4.7+
  • 230

This course is for R users who want to get up to speed with Python!

Software Development

5 hours

Course

Modeling with tidymodels in R

  • IntermediateSkill Level
  • 4.6+
  • 230

Learn to streamline your machine learning workflows with tidymodels.

Machine Learning

4 hours

Course

Scalable AI Models with PyTorch Lightning

  • IntermediateSkill Level
  • 4.6+
  • 230

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

Artificial Intelligence

3 hours

Course

Building Dashboards with shinydashboard

  • BasicSkill Level
  • 4.4+
  • 224

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Reporting

4 hours

Course

Building Marketing Workflows with n8n

  • BasicSkill Level
  • 4.7+
  • 223

Build marketing workflows in n8n using AI agents. Automate campaign strategy, conversion optimization, and lead generation from scratch.

Artificial Intelligence

3 hours

Course

Machine Learning for Marketing in Python

  • IntermediateSkill Level
  • 4.5+
  • 223

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

Machine Learning

4 hours

Course

Data Manipulation in KNIME

  • BasicSkill Level
  • 4.7+
  • 222

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

Data Manipulation

3 hours

Course

Case Study: Financial Analysis in KNIME

  • IntermediateSkill Level
  • 4.1+
  • 222

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

Applied Finance

3 hours

Course

Innovating with Google Cloud AI

  • BasicSkill Level
  • 4.8+
  • 220

Innovating with Google Cloud AI

Cloud

1 hour

Course

Building Recommendation Engines with PySpark

  • AdvancedSkill Level
  • 4.4+
  • 218

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

Machine Learning

4 hours

Course

Exploring Data Transformation with Google Cloud

  • BasicSkill Level
  • 4.8+
  • 216

Exploring Data Transformation with Google Cloud

Cloud

1 hour

Course

A/B Testing in R

  • IntermediateSkill Level
  • 4.4+
  • 216

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Probability & Statistics

4 hours

Course

Data Visualization in KNIME

  • BasicSkill Level
  • 4.5+
  • 212

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

Data Visualization

2 hours

Course

Implement Azure Security for Developers

  • IntermediateSkill Level
  • 4.4+
  • 212

Azure Security

Cloud

3 hours

Course

Foundations of Inference in Python

  • AdvancedSkill Level
  • 4.5+
  • 211

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Probability & Statistics

4 hours

Course

Building Recommendation Engines in Python

  • IntermediateSkill Level
  • 4.6+
  • 210

Learn to build recommendation engines in Python using machine learning techniques.

Machine Learning

4 hours

Course

Time Series Analysis in Tableau

  • IntermediateSkill Level
  • 4.3+
  • 210

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

2 hours

Course

Writing Efficient Code with pandas

  • IntermediateSkill Level
  • 4.6+
  • 209

Learn efficient techniques in pandas to optimize your Python code.

Software Development

4 hours

Course

Python for Spreadsheet Users

  • BasicSkill Level
  • 4.6+
  • 209

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Software Development

4 hours

Course

Gen AI Apps: Transform Your Work

  • BasicSkill Level
  • 4.8+
  • 206

This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM.

Cloud

1 hour

Course

Survival Analysis in Python

  • AdvancedSkill Level
  • 4.6+
  • 204

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

Probability & Statistics

4 hours

Course

Analyzing Social Media Data in Python

  • IntermediateSkill Level
  • 4.7+
  • 203

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Data Manipulation

4 hours

Course

Practicing Statistics Interview Questions in Python

  • AdvancedSkill Level
  • 4.6+
  • 202

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Probability & Statistics

4 hours

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.