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771 Courses

Course

Financial Trading in Python

  • IntermediateSkill Level
  • 4.8+
  • 289 reviews

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

Applied Finance

4 hours

Course

Introduction to BigQuery

  • IntermediateSkill Level
  • 4.8+
  • 443 reviews

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Data Engineering

4 hours

Course

Deep Learning for Text with PyTorch

  • AdvancedSkill Level
  • 4.7+
  • 762 reviews

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

Artificial Intelligence

4 hours

Course

Regular Expressions in Python

  • BasicSkill Level
  • 4.7+
  • 203 reviews

Learn about string manipulation and become a master at using regular expressions.

Software Development

4 hours

Course

Advanced AI-Assisted Coding for Developers

  • AdvancedSkill Level
  • 4.9+
  • 169 reviews

Learn to use AI as a senior engineering partner for code analysis, performance optimization, security, and software architecture decisions.

Artificial Intelligence

1 hour 30 min

Course

Intermediate Workflow Automation with n8n

  • IntermediateSkill Level
  • 4.8+
  • 77 reviews

Design resilient, production-ready n8n automations that fetch APIs, process data in batches, handle errors, and run unattended on a schedule.

Artificial Intelligence

4 hours

Course

Sampling in R

  • IntermediateSkill Level
  • 4.7+
  • 876 reviews

Master sampling to get more accurate statistics with less data.

Probability & Statistics

4 hours

Course

End-to-End Machine Learning

  • IntermediateSkill Level
  • 4.7+
  • 353 reviews

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Machine Learning

4 hours

Course

Cleaning Data in R

  • IntermediateSkill Level
  • 4.7+
  • 813 reviews

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Data Preparation

4 hours

Course

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 136 reviews

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Probability & Statistics

4 hours

Course

AI for Sales

  • BasicSkill Level
  • 4.7+
  • 141 reviews

Tackle your sales work in an AI-first way! Learn to automate prospecting, draft personalized emails, and streamline CRM tasks using AI.

Artificial Intelligence

1 hour 40 min

Course

Introduction to NoSQL

  • BasicSkill Level
  • 4.8+
  • 832 reviews

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Data Engineering

4 hours

Course

CI/CD for Machine Learning

  • AdvancedSkill Level
  • 4.7+
  • 407 reviews

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

Machine Learning

5 hours

Course

Analyzing Marketing Campaigns with pandas

  • BasicSkill Level
  • 4.7+
  • 428 reviews

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

Exploratory Data Analysis

4 hours

Course

Credit Risk Modeling in Python

  • IntermediateSkill Level
  • 4.7+
  • 291 reviews

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Applied Finance

4 hours

Course

Cluster Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,014 reviews

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Machine Learning

4 hours

Course

Data Validation in Excel

  • BasicSkill Level
  • 4.7+
  • 559 reviews

Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.

Data Management

2 hours

Course

Introduction to Portfolio Risk Management in Python

  • IntermediateSkill Level
  • 4.8+
  • 367 reviews

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Applied Finance

4 hours

Course

Generate a Study Guide

  • BasicSkill Level
  • 4.7+
  • 603 reviews

Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

Artificial Intelligence

1 hour

Course

Developing Python Packages

  • IntermediateSkill Level
  • 4.7+
  • 953 reviews

Learn to create your own Python packages to make your code easier to use and share with others.

Software Development

4 hours

Course

Gemini in Google Docs

  • BasicSkill Level
  • 4.8+
  • 260 reviews

Write and edit faster with Gemini in Google Docs. Get AI-powered drafting, rewriting, and content suggestions to create clear, polished documents effortlessly.

Artificial Intelligence

30 min

Course

Introduction to Databricks Genie

  • BasicSkill Level
  • 4.8+
  • 90 reviews

Ask data questions in plain English with Databricks Genie - build spaces, curate business language, and monitor quality.

Data Engineering

2 hours

Course

Connecting Data in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,174 reviews

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Data Preparation

3 hours

Course

Data Visualization in Databricks

  • BasicSkill Level
  • 4.8+
  • 625 reviews

Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Data Visualization

3 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.

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