Future-proof your career with Data & AI Skills

with Data & AI Skills

Get hands-on with AI, ML, and Data Science skills with interactive courses and real-world projects

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A career investment that pays off

Data Engineer

Architect data pipelines for seamless information flow in advanced analytics systems.

Data Scientist

Extract actionable insights, transforming raw data into strategic decision support.

Big Data Engineer

Engineer scalable big data solutions, ensuring efficient processing and analysis.

Machine Learning Engineer

Craft and deploy machine learning models, transforming data into predictive intelligence.

Average Salaries (USD) 2022-2023

30k

50k

100k

200k

124k

82k

156k

123k

160k

Data Engineer

Data Analyst

Data Scientist

ML Engineer

Big Data Engineer

Skill paths to start your journey

Learn with these expert-led skill paths to achieve your learning goals and thrive in a data and AI-driven world.

skill path

Become a Data Scientist

skill path

Become a Machine Learning Engineer

skill path

Become a Big Data Professional

Try your hands at visualizationLearn with in-browser coding widgets; No setup required

Popular languages & frameworks

Data Science Essentials

Not sure where to start? Try our free handbooks and interview prep guides to kickstart your journey.

COURSE

FREE

Data Science Handbook

beginner

COURSE

Mastering Data Analysis with Python Pandas

beginner

COURSE

Data Science Interview Handbook

intermediate

Data Science and Machine Learning courses

Develop skills to decode patterns, drive insights and master algorithms to transform data into predictions, innovations, and informed decision-making

course

Introduction to Data Science with Python

course

Developing and Analyzing Statistical Models with R

course

Interactive Dashboards and Data Apps with Plotly and Dash

course

Using R for Data Analysis in Social Sciences

course

Data Analysis & Processing with Pandas

course

Effective Data Manipulation with pandas

course

Practical Data Analysis with SQL

course

Mastering Serverless Computing for Data Science

Data Science Projects

Get hands-on practice with Data Science skills through real-world projects.Available in Educative Premium.

Practice in-demand skills with 180+ full-featured projects

Do everything in-browser — no downloads, setup, or config

Safely access computing resources & storage

Project

Create Your First Data Pipeline with a Dashboard

Learn to create a data pipeline and interactive visualizations using Python’s Kedro and hvPlot for actionable insights.

intermediate

1 h

Project

Stock Market Data Visualization Using Python

Explore stock market trends and predictions using Python with NIFTY-50 data analysis from 2008 to 2021.

intermediate

1 h

Project

Uber Data Analysis Using the R Language

Analyze and visualize New York Uber data using R for insights on time patterns and geographic trends.

beginner

1 h

Project

Face Detection Using Dlib and DNN in OpenCV

Learn to implement and compare face detection using Dlib and DNN in OpenCV through HOG and SSD models.

beginner

1 h

Project

Exploring Geospatial Data Using GeoPandas, Geoplot and Contextily

Learn to analyze and visualize geospatial data using GeoPandas, Geoplot, and Contextily for advanced mapping techniques.

intermediate

1 h

Project

Data Augmentation for ML Datasets

Experience how data augmentation enhances ML model performance by transforming images using tools like OpenCV, TensorFlow, and imgaug.

intermediate

1 h

Test Your Skills

Try our free assessment

Take this free Data Science skills assessment

Get a personalized learning plan based on your results

**All skill levels welcome!**

Why learn Data Science with Educative?

Educative's powers your learning with interactive hands-on courses so you apply the knowledge as you go along

Hassle-free setup so you can apply skills through full-featured technical projects with ease

Educative is the leading platform for learners looking to upskill in cloud, data, machine learning and AI technologies

Start learning data science courses

Explore the realm of data science through our in-depth and informative courses. Whether you're a beginner or a professional looking to enhance your skills, our courses cater to all levels. We break down complex theories into understandable sections, covering everything from basic statistics to advanced algorithms. With over a million students enrolled, our curriculum is proven and trusted.

Looking for the best data science programs?

Join the community of learners who have transformed their careers with our top-tier programs. Industry veterans craft our courses with years of experience. They know what it takes to succeed in the field and have designed the curriculum to give you that edge.

Follow our comprehensive data science curriculum: Stay current with the rapidly evolving field of data science. Our curriculum continuously adapts to the latest trends and technologies, covering everything from basic principles to advanced techniques.
Become a data scientist: Explore exactly what a data scientist is. We not only equip you with the necessary skills but also provide you with an understanding of the role’s impact and responsibilities in the modern data-driven world.
Build your data science skills: Our courses emphasize crucial skills, from data analysis and predictive modeling to effective communication. Designed for practical application, they’re relevant across various industries.
Get recognized with a data science certification: Stand out with a certification trusted by professionals. It’s more than just a credential; it recognizes your data science expertise and dedication.
Hassle free setup: You get to code right in your browser and see how you’re doing immediately

Frequently Asked Questions

How can I learn data science?

To start learning about data science, you should take the following steps: Understand basic concepts: Take up a course and learn statistics, probability, and data analysis fundamentals. Learn data manipulation and analysis: Master tools and libraries like Pandas, NumPy, and Matplotlib in Python or Tidyverse in R. Study machine learning: Understand basic machine learning algorithms and principles. Work on projects: Apply your knowledge to real-world datasets in order to gain practical experience. Explore advanced topics: Explore advanced topics like deep learning, big data technologies, and specialized areas of interest. Continuous learning: Stay up-to-date with the latest trends and advancements in the field.

Can I teach myself data science?

You can easily learn data science using Educative’s online courses. While there are plenty of online resources for those eyeing a career in data science, it’s important to remember that self-teaching is not structured so you might overlook some crucial aspects.

Is data science easy to learn?

Data science is challenging because it demands numerous skills and knowledge. Math, statistics, and computer science are at the core of data science, and you need to be familiar with linear algebra, probability theory, and statistics to understand and apply it.

Is studying data science worth it?

Data science is taking off and becoming one of the fastest-growing jobs. It’s highly sought-after in various sectors, such as finance, healthcare, e-commerce, and technology. However, it’s a field that requires a specific set of skills that not everyone has.

Where can I study data science?

You can pursue a university degree in data science, though it can be costly. A more feasible option is to check out online courses. They offer a structured approach and help solidify your basics in the field.

Keep the Learning GoingExplore curated blogs and data science interview tips by experts