Course
Case Study: Analyzing Sales Data in Alteryx
- BasicSkill Level
- 4.8+
- 388
Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.
Data Preparation
Data, AI, and Cloud Courses
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Course
Functions for Manipulating Data in SQL Server
- IntermediateSkill Level
- 4.9+
- 387
Learn the most important functions for manipulating, processing, and transforming data in SQL Server.
Data Manipulation
Course
Gemini in Google Sheets
- BasicSkill Level
- 4.9+
- 386
Analyze data smarter with Gemini in Google Sheets. Use AI-powered insights, formula suggestions, and automation to simplify spreadsheets and boost productivity.
Artificial Intelligence
Course
Introduction to AI Apps in Sigma
- BasicSkill Level
- 4.9+
- 385
Build interactive AI apps in Sigma using user input, actions, and polished interfaces, no coding required.
Reporting
Course
Introduction to Network Analysis in Python
- IntermediateSkill Level
- 4.8+
- 385
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Probability & Statistics
Course
Databricks with the Python SDK
- AdvancedSkill Level
- 4.8+
- 384
Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.
Artificial Intelligence
Course
Fully Automated MLOps
- IntermediateSkill Level
- 4.8+
- 382
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.
Machine Learning
Course
Monte Carlo Simulations in Python
- IntermediateSkill Level
- 4.8+
- 380
Learn to design and run your own Monte Carlo simulations using Python!
Probability & Statistics
Course
Data Modeling in Sigma
- BasicSkill Level
- 4.9+
- 378
Stop rewriting the same joins and calculations, and dive into well-governed, scalable analytics using Sigma data models.
Reporting
Course
Improving Your Data Visualizations in Python
- IntermediateSkill Level
- 4.8+
- 377
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Data Visualization
Course
AI for Sales
- BasicSkill Level
- 4.7+
- 372
Tackle your sales work in an AI-first way! Learn to automate prospecting, draft personalized emails, and streamline CRM tasks using AI.
Artificial Intelligence
Course
Monitoring Machine Learning in Python
- AdvancedSkill Level
- 4.8+
- 370
This course covers everything you need to know to build a basic machine learning monitoring system in Python
Machine Learning
Data Management
Course
Marketing Analytics in Google Sheets
- IntermediateSkill Level
- 4.8+
- 365
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
Reporting
Course
Fine-Tuning with Llama 3
- IntermediateSkill Level
- 4.7+
- 365
Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.
Artificial Intelligence
Course
Building AI Agents with CrewAI
- IntermediateSkill Level
- 4.8+
- 364
Build AI teams that work together, automate workflows, and generate content with CrewAI.
Artificial Intelligence
Course
Introduction to Python in Power BI
- IntermediateSkill Level
- 4.8+
- 363
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
Data Manipulation
Course
Winning a Kaggle Competition in Python
- AdvancedSkill Level
- 4.8+
- 363
Learn how to approach and win competitions on Kaggle.
Machine Learning
Course
Building and Optimizing Triggers in SQL Server
- IntermediateSkill Level
- 4.8+
- 363
Learn how to design and implement triggers in SQL Server using real-world examples.
Software Development
Course
Transactions and Error Handling in SQL Server
- IntermediateSkill Level
- 4.8+
- 361
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.
Software Development
Course
Decoding Decision Modeling
- BasicSkill Level
- 4.8+
- 361
Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.
Data Literacy
Course
Time Series Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 356
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
Data Visualization
Course
Gemini in Google Slides
- BasicSkill Level
- 4.8+
- 350
Create impactful presentations faster with Gemini in Google Slides. Use AI-powered design and suggestions to build professional, engaging slides in minutes.
Artificial Intelligence
Course
Intermediate R for Finance
- BasicSkill Level
- 4.8+
- 349
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.
Applied Finance
Course
Digital Transformation with Google Cloud
- BasicSkill Level
- 4.9+
- 348
This course provides an overview of the opportunities and challenges companies encounter in their digital transformation journey.
Cloud
Course
Calculations in Sigma
- BasicSkill Level
- 4.9+
- 345
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.
Data Manipulation
Course
Gen AI Agents: Transform Your Organization
- BasicSkill Level
- 4.9+
- 345
This course explores how organizations can use custom gen AI agents to help tackle specific business challenges.
Cloud
Course
Case Study: Ecommerce Analysis in Power BI
- IntermediateSkill Level
- 4.9+
- 344
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.
Data Visualization
Course
Supply Chain Analytics in Python
- IntermediateSkill Level
- 4.8+
- 344
Leverage the power of Python and PuLP to optimize supply chains.
Exploratory Data Analysis
Course
Baseball Data Visualization in Power BI
- BasicSkill Level
- 4.9+
- 343
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
Data Visualization
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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