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299 Courses

Course

Introduction to Statistics

  • BasicSkill Level
  • 4.8+
  • 8,612 reviews

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

Probability & Statistics

4 hours

Course

Data Visualization in Power BI

  • BasicSkill Level
  • 4.8+
  • 9,716 reviews

Power BI is a powerful data visualization tool that can be used in reports and dashboards.

Data Visualization

3 hours

Course

Communicating Data Insights

  • BasicSkill Level
  • 4.8+
  • 8,638 reviews

Data-driven organizations consistently rely on insights to inspire action and drive change.

Data Literacy

2 hours

Course

Introduction to Microsoft Copilot

  • BasicSkill Level
  • 4.8+
  • 4,228 reviews

Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.

Artificial Intelligence

1 hour

Course

Introduction to Snowflake

  • BasicSkill Level
  • 4.8+
  • 4,237 reviews

Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.

Data Warehouse

2 hours

Course

Generative AI for Business

  • BasicSkill Level
  • 4.7+
  • 8,568 reviews

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

Artificial Intelligence

1 hour

Course

Introduction to Tableau

  • BasicSkill Level
  • 4.8+
  • 5,133 reviews

Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

Data Visualization

6 hours

Course

Intermediate Python for Developers

  • BasicSkill Level
  • 4.8+
  • 7,839 reviews

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Software Development

2 hours

Course

Working with Microsoft Copilot

  • BasicSkill Level
  • 4.7+
  • 933 reviews

Learn to work with Microsoft Copilot. Master prompting, navigate Microsoft 365 apps, and build custom agents.

Artificial Intelligence

2 hours

Course

Data Preparation in Excel

  • BasicSkill Level
  • 4.8+
  • 6,577 reviews

Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.

Data Preparation

3 hours

Course

Introduction to Databricks

  • BasicSkill Level
  • 4.7+
  • 3,303 reviews

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.

Data Engineering

3 hours

Course

Prompt Engineering with the OpenAI API

  • BasicSkill Level
  • 4.7+
  • 3,788 reviews

Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.

Artificial Intelligence

4 hours

Course

Database Design

  • BasicSkill Level
  • 4.7+
  • 7,407 reviews

Learn to design databases in SQL to process, store, and organize data in a more efficient way.

Data Engineering

4 hours

Course

Intermediate Git

  • BasicSkill Level
  • 4.8+
  • 6,466 reviews

Discover branches and remote repos for version control in collaborative software and data projects using Git!

Software Development

2 hours

Course

Data Preparation in Power BI

  • BasicSkill Level
  • 4.8+
  • 7,850 reviews

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

Data Preparation

3 hours

Course

Building Scalable Agentic Systems

  • BasicSkill Level
  • 4.8+
  • 2,366 reviews

Discover what it takes to scale AI agents, with a little help from frameworks like MCP and A2A.

Artificial Intelligence

1 hour 30 min

Course

Data Modeling in Power BI

  • BasicSkill Level
  • 4.8+
  • 7,056 reviews

Learn the key concepts of data modeling on Power BI.

Data Manipulation

3 hours

Course

Working with Hugging Face

  • BasicSkill Level
  • 4.8+
  • 5,368 reviews

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

Artificial Intelligence

2 hours

Course

Case Study: Analyzing Customer Churn in Power BI

  • BasicSkill Level
  • 4.8+
  • 6,726 reviews

You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.

Data Visualization

3 hours

Course

Introduction to GitHub Concepts

  • BasicSkill Level
  • 4.7+
  • 3,521 reviews

Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

Software Development

2 hours

Course

Introduction to Data Culture

  • BasicSkill Level
  • 4.7+
  • 6,239 reviews

Learn the key components of building a strong data culture within an organization.

Data Literacy

1 hour

Course

Introduction to Java

  • BasicSkill Level
  • 4.8+
  • 2,017 reviews

Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.

Software Development

4 hours

Course

Data Storytelling Concepts

  • BasicSkill Level
  • 4.8+
  • 3,983 reviews

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

Data Literacy

2 hours

Course

Claude 101

  • BasicSkill Level
  • 4.8+
  • 441 reviews

Learn how to use Claude for everyday work tasks, understand core features, and explore resources for more advanced learning on other topics.

Artificial Intelligence

2 hours

Course

Introduction to the Tidyverse

  • BasicSkill Level
  • 4.8+
  • 1,123 reviews

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Software Development

4 hours

Course

Intermediate R

  • BasicSkill Level
  • 4.8+
  • 962 reviews

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Software Development

6 hours

Course

Introduction to ChatGPT

  • BasicSkill Level
  • 4.8+
  • 5,362 reviews

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

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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