Course
Case Study: Analyzing Customer Churn in Tableau
- BasicSkill Level
- 4.8+
- 941 reviews
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Data Visualization
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299 Courses
Course
Microsoft Copilot in Word
- BasicSkill Level
- 4.8+
- 141 reviews
Master Microsoft Copilot in Word to write faster, understand documents instantly, and collaborate more effectively.
Artificial Intelligence
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Analyzing Marketing Campaigns with pandas
- BasicSkill Level
- 4.7+
- 411 reviews
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
Exploratory Data Analysis
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Understanding Microsoft Azure Management and Governance
- BasicSkill Level
- 4.8+
- 1,269 reviews
Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.
Cloud
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Creating PostgreSQL Databases
- BasicSkill Level
- 4.8+
- 611 reviews
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.
Data Preparation
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Connecting Data in Tableau
- BasicSkill Level
- 4.8+
- 1,118 reviews
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.
Data Preparation
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AI for Marketing
- BasicSkill Level
- 4.7+
- 157 reviews
Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.
Artificial Intelligence
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ARIMA Models in R
- BasicSkill Level
- 4.8+
- 308 reviews
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
Probability & Statistics
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Regular Expressions in Python
- BasicSkill Level
- 4.7+
- 190 reviews
Learn about string manipulation and become a master at using regular expressions.
Software Development
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Understanding GDPR
- BasicSkill Level
- 4.8+
- 506 reviews
Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.
Data Literacy
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Introduction to KNIME
- BasicSkill Level
- 4.8+
- 533 reviews
Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.
Data Preparation
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Data Validation in Excel
- BasicSkill Level
- 4.7+
- 519 reviews
Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.
Data Management
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Data Visualization in Tableau
- BasicSkill Level
- 4.8+
- 819 reviews
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
Data Visualization
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Gemini in Google Docs
- BasicSkill Level
- 4.8+
- 180 reviews
Write and edit faster with Gemini in Google Docs. Get AI-powered drafting, rewriting, and content suggestions to create clear, polished documents effortlessly.
Artificial Intelligence
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Data Transformation in Alteryx
- BasicSkill Level
- 4.8+
- 764 reviews
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
Data Manipulation
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Gemini in Google Sheets
- BasicSkill Level
- 4.8+
- 168 reviews
Analyze data smarter with Gemini in Google Sheets. Use AI-powered insights, formula suggestions, and automation to simplify spreadsheets and boost productivity.
Artificial Intelligence
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Data Visualization in Databricks
- BasicSkill Level
- 4.7+
- 588 reviews
Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.
Data Visualization
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Pivot Tables in Google Sheets
- BasicSkill Level
- 4.8+
- 215 reviews
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.
Data Manipulation
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Data Manipulation in Alteryx
- BasicSkill Level
- 4.8+
- 628 reviews
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Data Manipulation
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AI for Sales
- BasicSkill Level
- 4.7+
- 108 reviews
Tackle your sales work in an AI-first way! Learn to automate prospecting, draft personalized emails, and streamline CRM tasks using AI.
Artificial Intelligence
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Introduction to Azure
- BasicSkill Level
- 4.8+
- 631 reviews
Explore Azure services like Compute, Storage, and Automation, with hands-on experience.
Cloud
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Generate a Study Guide
- BasicSkill Level
- 4.7+
- 549 reviews
Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.
Artificial Intelligence
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Introduction to Statistics in Google Sheets
- BasicSkill Level
- 4.8+
- 579 reviews
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
Probability & Statistics
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Gemini in Google Drive
- BasicSkill Level
- 4.8+
- 166 reviews
Organize and manage files with Gemini in Google Drive. Use AI-powered search to quickly find information, streamline collaboration, and boost productivity.
Artificial Intelligence
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Data Pipeline Automation in Snowflake
- BasicSkill Level
- 4.8+
- 91 reviews
Load, automate, and optimize data pipelines in Snowflake using COPY INTO, Snowpipe, streams, tasks, dynamic tables, and query performance tools.
Data Engineering
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Google: Introduction to AI Agents
- BasicSkill Level
- 4.8+
- 105 reviews
Gain an overview of AI Agents. Discover how AI Agents use autonomous action and reasoning to solve complex problems.
Cloud
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Forecasting in R
- BasicSkill Level
- 4.9+
- 51 reviews
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
Probability & Statistics
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Introduction to Oracle SQL
- BasicSkill Level
- 4.8+
- 246 reviews
Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.
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Snowflake Management, Governance & Collaboration
- BasicSkill Level
- 4.8+
- 94 reviews
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Data Management
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Digital Transformation with Google Cloud
- BasicSkill Level
- 4.8+
- 92 reviews
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Cloud
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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