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778 Courses

Course

Joining Data with dplyr

  • BasicSkill Level
  • 4.7+
  • 1,288 reviews

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Data Manipulation

4 hours

Course

Data Preparation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 1,146 reviews

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Data Preparation

3 hours

Course

Intermediate SQL Server

  • IntermediateSkill Level
  • 4.8+
  • 249 reviews

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Software Development

4 hours

Course

Linear Classifiers in Python

  • IntermediateSkill Level
  • 4.8+
  • 341 reviews

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Machine Learning

4 hours

Course

Introduction to Data Ethics

  • BasicSkill Level
  • 4.7+
  • 2,531 reviews

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

Data Literacy

1 hour

Course

Data Types and Exceptions in Java

  • IntermediateSkill Level
  • 4.8+
  • 650 reviews

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

4 hours

Course

Applying SQL to Real-World Problems

  • IntermediateSkill Level
  • 4.8+
  • 1,241 reviews

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Reporting

4 hours

Course

DevOps Concepts

  • BasicSkill Level
  • 4.8+
  • 906 reviews

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

Software Development

4 hours

Course

Deep Learning for Images with PyTorch

  • AdvancedSkill Level
  • 4.7+
  • 778 reviews

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

Artificial Intelligence

4 hours

Course

Extreme Gradient Boosting with XGBoost

  • IntermediateSkill Level
  • 4.8+
  • 270 reviews

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Machine Learning

4 hours

Course

Data Science for Business

  • BasicSkill Level
  • 4.8+
  • 986 reviews

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Data Literacy

2 hours

Course

Snowflake Management, Governance & Collaboration

  • BasicSkill Level
  • 4.8+
  • 156 reviews

Learn to secure, govern, and manage Snowflake at scale. Cover RBAC, data masking, cost monitoring, Time Travel, and secure data sharing.

Data Management

3 hours

Course

Image Processing in Python

  • IntermediateSkill Level
  • 4.8+
  • 218 reviews

Learn to process, transform, and manipulate images at your will.

Machine Learning

4 hours

Course

Understanding GDPR

  • BasicSkill Level
  • 4.8+
  • 568 reviews

Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.

Data Literacy

1 hour

Course

Gemini in Google Meet

  • BasicSkill Level
  • 4.8+
  • 375 reviews

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

30 min

Course

Introduction to Bash Scripting

  • IntermediateSkill Level
  • 4.8+
  • 515 reviews

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Software Development

4 hours

Course

Gemini in Gmail

  • BasicSkill Level
  • 4.8+
  • 363 reviews

Learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Gmail.

Artificial Intelligence

30 min

Course

Data Manipulation in Snowflake

  • BasicSkill Level
  • 4.8+
  • 1,088 reviews

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

Data Manipulation

2 hours

Course

Introduction to Apache Kafka

  • IntermediateSkill Level
  • 4.7+
  • 907 reviews

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Data Engineering

2 hours

Course

Financial Trading in Python

  • IntermediateSkill Level
  • 4.8+
  • 292 reviews

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

Applied Finance

4 hours

Course

Software Development with Windsurf

  • IntermediateSkill Level
  • 4.8+
  • 466 reviews

Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.

Artificial Intelligence

1 hour 30 min

Course

Advanced AI-Assisted Coding for Developers

  • AdvancedSkill Level
  • 4.8+
  • 196 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

Deploying AI into Production with FastAPI

  • AdvancedSkill Level
  • 4.8+
  • 429 reviews

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

Artificial Intelligence

4 hours

Course

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 141 reviews

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

Probability & Statistics

4 hours

Course

Data Storytelling Case Study: Green Businesses

  • BasicSkill Level
  • 4.8+
  • 877 reviews

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Data Literacy

1 hour

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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