Course
Time Series Analysis in SQL Server
- IntermediateSkill Level
- 4.7+
- 357 reviews
Explore ways to work with date and time data in SQL Server for time series analysis
Data Manipulation
Data, AI, and Cloud Courses
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711 Courses
Course
Winning a Kaggle Competition in Python
- AdvancedSkill Level
- 4.8+
- 425 reviews
Learn how to approach and win competitions on Kaggle.
Machine Learning
Course
Baseball Data Visualization in Power BI
- BasicSkill Level
- 4.8+
- 177 reviews
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
Course
Case Study: Mortgage Trading Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 267 reviews
In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.
Applied Finance
Course
Case Study: Ecommerce Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 196 reviews
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.
Data Visualization
Course
Building and Optimizing Triggers in SQL Server
- IntermediateSkill Level
- 4.8+
- 220 reviews
Learn how to design and implement triggers in SQL Server using real-world examples.
Software Development
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Building AI Agents with CrewAI
- IntermediateSkill Level
- 4.8+
- 77 reviews
Build AI teams that work together, automate workflows, and generate content with CrewAI.
Artificial Intelligence
Cloud
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Data Strategy
- BasicSkill Level
- 4.7+
- 1,727 reviews
Master strategic data management for business excellence.
Data Management
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AI-Assisted Product Launch
- BasicSkill Level
- 4.7+
- 325 reviews
Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.
Artificial Intelligence
Course
Web Scraping in R
- IntermediateSkill Level
- 4.7+
- 87 reviews
Learn how to efficiently collect and download data from any website using R.
Data Preparation
Course
Databricks with the Python SDK
- AdvancedSkill Level
- 4.7+
- 75 reviews
Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.
Artificial Intelligence
Course
Introduction to Python in Power BI
- IntermediateSkill Level
- 4.8+
- 139 reviews
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
Data Manipulation
Course
Data Fluency
- BasicSkill Level
- 4.8+
- 269 reviews
Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.
Data Literacy
Course
HR Analytics: Exploring Employee Data in R
- IntermediateSkill Level
- 4.8+
- 35 reviews
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
Exploratory Data Analysis
Course
Visualization Best Practices in R
- BasicSkill Level
- 4.8+
- 302 reviews
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Data Visualization
Course
Supply Chain Analytics in Python
- IntermediateSkill Level
- 4.8+
- 85 reviews
Leverage the power of Python and PuLP to optimize supply chains.
Exploratory Data Analysis
Course
Time Series Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 248 reviews
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
Analyzing Survey Data in R
- IntermediateSkill Level
- 4.8+
- 202 reviews
Learn survey design using common design structures followed by visualizing and analyzing survey results.
Probability & Statistics
Course
Inference for Linear Regression in R
- AdvancedSkill Level
- 4.8+
- 142 reviews
In this course youll learn how to perform inference using linear models.
Probability & Statistics
Course
Transactions and Error Handling in SQL Server
- IntermediateSkill Level
- 4.8+
- 256 reviews
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.
Software Development
Course
Functions for Manipulating Data in SQL Server
- IntermediateSkill Level
- 4.9+
- 92 reviews
Learn the most important functions for manipulating, processing, and transforming data in SQL Server.
Data Manipulation
Course
Communicating with Data in the Tidyverse
- BasicSkill Level
- 4.8+
- 190 reviews
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
Data Visualization
Course
Working with Dates and Times in R
- IntermediateSkill Level
- 4.8+
- 90 reviews
Learn the essentials of parsing, manipulating and computing with dates and times in R.
Software Development
Course
Case Study: Inventory Analysis in Power BI
- IntermediateSkill Level
- 4.7+
- 165 reviews
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
Data Visualization
Course
Snowflake Architecture
- BasicSkill Level
- 4.8+
- 22 reviews
Master Snowflakes three-layer architecture and build the mental model you need to work effectively in Snowflake.
Course
Gen AI: Navigate the Landscape
- BasicSkill Level
- 4.8+
- 67 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
Course
Marketing Analytics: Predicting Customer Churn in Python
- IntermediateSkill Level
- 4.8+
- 164 reviews
Learn how to use Python to analyze customer churn and build a model to predict it.
Exploratory Data Analysis
Course
Case Study: Analyzing City Time Series Data in R
- IntermediateSkill Level
- 4.8+
- 137 reviews
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Probability & Statistics
Course
Financial Modeling in Google Sheets
- IntermediateSkill Level
- 4.7+
- 263 reviews
Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.
Applied Finance
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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