Data Science Courses in Python, R, SQL, and more

Data science courses

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Machine Learning with Tree-Based Models in Python

In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

Over 3 hoursMachine LearningElie Kawerkcourse

Introduction to APIs in Python

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

2-3 hoursSoftware DevelopmentChris Ramakerscourse

Introduction to Alteryx

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

2-3 hoursData PreparationIason Prassidescourse

Data-Driven Decision Making in SQL

Learn how to analyze a SQL table and report insights to management.

Over 3 hoursData LiteracyBart Baesenscourse

Introduction to Apache Airflow in Python

Learn how to implement and schedule data engineering workflows.

Over 3 hoursData EngineeringMike Metzgercourse

MLOps Concepts

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

2-3 hoursMachine LearningFolkert Stijnmancourse

Introduction to Importing Data in R

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Over 3 hoursData PreparationFilip Schouwenaarscourse

Intermediate Data Modeling in Power BI

Master data modeling in Power BI.

Over 3 hoursData ManipulationSara Billencourse

Data Structures and Algorithms in Python

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

Over 3 hoursSoftware DevelopmentMiriam Antonacourse

Exploratory Data Analysis in Power BI

Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.

Over 3 hoursExploratory Data AnalysisJacob Marquezcourse

Intermediate ChatGPT

Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.

1-2 hoursArtificial IntelligenceAlex Bankscourse

Introduction to Power Query in Excel

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

Over 3 hoursData PreparationLyndsay Girardcourse

Web Scraping in Python

Learn to retrieve and parse information from the internet using the Python library scrapy.

Over 3 hoursData PreparationThomas Laetschcourse

Introduction to Data Engineering

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Over 3 hoursData EngineeringVincent Vankrunkelsvencourse

Intermediate DAX in Power BI

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

Over 3 hoursData ManipulationCarl Rosseelcourse

Introduction to Regression in R

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Over 3 hoursProbability & StatisticsRichie Cottoncourse

Creating Dashboards in Tableau

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Over 3 hoursData VisualizationHadrien Lacroixcourse

Financial Modeling in Excel

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

Over 3 hoursApplied FinanceNick Edwardscourse

Working with Dates and Times in Python

Learn how to work with dates and times in Python.

Over 3 hoursSoftware DevelopmentDataCamp Content Creatorcourse

Data Storytelling Concepts

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

2-3 hoursData LiteracyJoe Franklincourse

Case Study: HR Analytics in Power BI

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

Over 3 hoursData ManipulationJess Ahmetcourse

Writing Efficient Python Code

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Over 3 hoursSoftware DevelopmentLogan Thomascourse

Introduction to dbt

This course introduces dbt for data modeling, transformations, testing, and building documentation.

Over 3 hoursData EngineeringMike Metzgercourse

Exploratory Data Analysis in R

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Over 3 hoursExploratory Data AnalysisAndrew Braycourse

GitHub Concepts

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

2-3 hoursSoftware DevelopmentJasmin Ludolfcourse

Preprocessing for Machine Learning in Python

Learn how to clean and prepare your data for machine learning!

Over 3 hoursMachine LearningJames Chapmancourse

Understanding Modern Data Architecture

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

2-3 hoursData EngineeringMiller Trujillocourse

Big Data Fundamentals with PySpark

Learn the fundamentals of working with big data with PySpark.

Over 3 hoursData EngineeringUpendra Kumar Devisettycourse

Introduction to Data Privacy

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

2-3 hoursData LiteracyTiffany Lewiscourse

Image Processing in Python

Learn to process, transform, and manipulate images at your will.

Over 3 hoursMachine LearningRebeca Gonzalezcourse

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