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298 Courses

Course

Marketing Analytics for Business

  • BasicSkill Level
  • 4.8+
  • 586 reviews

Discover how Marketing Analysts use data to understand customers and drive business growth.

Leadership

2 hours

Course

Introduction to Azure

  • BasicSkill Level
  • 4.8+
  • 673 reviews

Explore Azure services like Compute, Storage, and Automation, with hands-on experience.

Cloud

1 hour

Course

Introduction to KNIME

  • BasicSkill Level
  • 4.8+
  • 540 reviews

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Data Preparation

3 hours

Course

AI-Assisted Travel Planning

  • BasicSkill Level
  • 4.8+
  • 508 reviews

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

Artificial Intelligence

1 hour

Course

Intermediate SQL Querying with AI

  • BasicSkill Level
  • 4.9+
  • 257 reviews

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

Data Manipulation

3 hours

Course

Introduction to R for Finance

  • BasicSkill Level
  • 4.7+
  • 101 reviews

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Applied Finance

4 hours

Course

Data Manipulation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 662 reviews

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Data Manipulation

3 hours

Course

Math for Finance Professionals

  • BasicSkill Level
  • 4.8+
  • 308 reviews

Learn essential finance math skills with practical Excel exercises and real-world examples.

Applied Finance

3 hours

Course

Building a Go-To-Market Strategy

  • BasicSkill Level
  • 4.7+
  • 413 reviews

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

Artificial Intelligence

1 hour

Course

Gen AI: Unlock Foundational Concepts

  • BasicSkill Level
  • 4.8+
  • 154 reviews

You unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI.

Cloud

1 hour 30 min

Course

Building Marketing Workflows with n8n

  • BasicSkill Level
  • 4.9+
  • 72 reviews

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

Artificial Intelligence

3 hours

Course

Understanding Digital Transformation

  • BasicSkill Level
  • 4.8+
  • 582 reviews

Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.

Data Literacy

1 hour

Course

Intermediate Google Sheets

  • BasicSkill Level
  • 4.8+
  • 829 reviews

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Data Preparation

4 hours

Course

Visualizations in Sigma

  • BasicSkill Level
  • 4.8+
  • 216 reviews

Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

Data Visualization

2 hours

Course

Data Strategy

  • BasicSkill Level
  • 4.7+
  • 1,775 reviews

Master strategic data management for business excellence.

Data Management

1 hour

Course

Power BI for End Users

  • BasicSkill Level
  • 4.7+
  • 333 reviews

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

Reporting

1 hour

Course

Recommending Skincare Products

  • BasicSkill Level
  • 4.7+
  • 304 reviews

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

Artificial Intelligence

1 hour

Course

Case Study: Analyzing Job Market Data in Power BI

  • BasicSkill Level
  • 4.8+
  • 331 reviews

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

Data Manipulation

4 hours

Course

Gen AI Apps: Transform Your Work

  • BasicSkill Level
  • 4.8+
  • 142 reviews

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

Cloud

1 hour 15 min

Course

AI-Assisted Product Launch

  • BasicSkill Level
  • 4.7+
  • 371 reviews

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

Artificial Intelligence

1 hour

Course

Foundations of Probability in R

  • BasicSkill Level
  • 4.8+
  • 460 reviews

In this course, youll learn about the concepts of random variables, distributions, and conditioning.

Probability & Statistics

4 hours

Course

Demystifying Decision Science

  • BasicSkill Level
  • 4.8+
  • 291 reviews

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

Data Literacy

1 hour

Course

Streaming Concepts

  • BasicSkill Level
  • 4.7+
  • 517 reviews

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

Data Engineering

2 hours

Course

Gen AI: Navigate the Landscape

  • BasicSkill Level
  • 4.8+
  • 128 reviews

You explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.

Cloud

1 hour 15 min

Course

Data Modeling in Sigma

  • BasicSkill Level
  • 4.8+
  • 114 reviews

Stop rewriting the same joins and calculations, and dive into well-governed, scalable analytics using Sigma data models.

Reporting

2 hours

Course

Visualization Best Practices in R

  • BasicSkill Level
  • 4.8+
  • 335 reviews

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Data Visualization

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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