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Data Analytics Courses
These data analytics courses focus on teaching the essential techniques used in day-to-day analysis with practical exercises and real-world data. You’ll learn to prepare data, calculate metrics, and communicate insights through dashboards and visuals.
1M+ learners
Hands-on projects
No credit card required
4.8
Recommended Path for Beginners
Start your data analytics journey with these expert-curated learning paths.
Data Analyst (Python)
Build end-to-end analytics skills with Python and SQL—cleaning data, visualizing insights, and delivering business answers.
27 courses
18 projects 426.2k
Data Analyst (R)
Analyze, clean, and visualize data using R and SQL to perform end-to-end statistical analysis and communicate insights effectively.
23 courses
18 projects 91.8k
Junior Data Analyst (Excel + SQL)
Analyze and communicate insights by preparing, querying, and visualizing data with Excel, SQL, and Python to support data-driven decisions.
19 courses
14 projects 449k
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Explore All Data Analytics Courses
APIs and Web Scraping for AI Applications
Explore APIs and web scraping with Python to retrieve, filter, and extract real-world data for AI-focused analysis and applications.
4 hours
2.2k
Free
AI Skills
Explore how AI chatbots and large language models are reshaping communication through guided interaction, real examples, and hands-on practice.
3 hours
6k
Prompting Large Language Models in Python
Examine real-world applications of large language models by designing prompts, managing context, and building AI-driven workflows in Python.
8 hours
2k
Designing Dynamic Python Applications with Streamlit
Design interactive Python applications with Streamlit by creating dynamic interfaces, managing state, and integrating LLM-powered chat features.
4 hours
1.8k
Tooling Essentials for Python Users
Explore essential tooling specifically tailored for Python enthusiasts through practical drills that stick.
6 hours
892
Intermediate Python
Advance your Python development skills by using object-oriented programming, decorators, regular expressions, and error handling in real projects.
6 hours
1.7k
Basic Operators and Data Structures in Python
Strengthen Python fundamentals by using loops, conditional logic, operators, and dictionaries to manipulate data and construct frequency tables.
5 hours
78.1k
Python Functions and Jupyter Notebook
Create reusable Python functions and run analyses in Jupyter Notebook to organize code, debug logic, and complete portfolio-ready data projects.
7 hours
80.2k
Python Dictionaries, APIs, and Functions
Structure Python programs by working with dictionaries, functions, and APIs to retrieve data, organize logic, and support larger application workflows.
7 hours
5.6k
Introduction to Python Programming
Write basic Python programs by working with variables, data types, lists, loops, and conditionals to support simple development tasks.
4 hours
7.3k
Natural Language Processing for Deep Learning
Process and model text data by applying NLP techniques such as tokenization, embeddings, sequence models, and transformers to build deep learning solutions.
6 hours
578
Convolutional Neural Networks for Deep Learning
Design and refine convolutional neural network models for computer vision by training, regularizing, and fine-tuning CNN architectures on image data.
12 hours
482
Sequence Models for Deep Learning
Model sequential data by building and evaluating RNN, GRU, and LSTM architectures for time-series forecasting and sequence prediction tasks.
6 hours
544
Free
Querying Databases with SQL and R
Query SQLite databases from R by executing SQL statements to retrieve, filter, and analyze subsets of data for practical analysis tasks.
1 hours
2k
Free
Querying Databases with SQL and Python
Retrieve and analyze data from SQLite databases by running SQL queries in Python and converting results into pandas DataFrames for analysis.
1 hours
2k
Free
Querying SQLite from Python
Query SQLite databases from Python by executing SQL statements and working with cursors to retrieve and analyze data.
1 hours
12.2k
Introduction to SQL and Databases
Develop core SQL skills by writing queries to access, explore, and manipulate data stored in relational databases for common data analysis tasks.
5 hours
26.1k
Window Functions in SQL
Analyze data more effectively by using SQL window functions to compute running metrics, rankings, distributions, and offsets within queries.
7 hours
3.9k
Learn Data Analytics Courses by Building Projects
Apply your skills to real-world scenarios with these guided projects
Project
Free
Word Raider
For this project, you’ll step into the role of a Python developer to create “Word Raider,” an interactive word-guessing game using core programming concepts like loops, conditionals, and file handling.
11 Steps
Project
Profitable App Profiles for the App Store and Google Play Markets
For this project, we’ll assume the role of data analysts for a company that builds free Android and iOS apps. Our revenue depends on in-app ads, so our goal is to analyze data to determine which kinds of apps attract more users.
14 Steps
Project
Free
Analyzing Kickstarter Projects
For this project, you’ll assume the role of a data analyst at a startup considering launching a Kickstarter campaign. You’ll analyze data to help the team understand what might influence a campaign’s success.
8 Steps
Project
Free
Investigative Statistical Analysis – Analyzing Accuracy in Data Presentation
For this project, you’ll be a data journalist analyzing Fandango’s movie ratings to determine if there was any change after a 2015 analysis found evidence of bias. You’ll use R and statistics skills to compare movie ratings data from 2015 and 2016.
8 Steps
Frequently Asked Questions
How do you choose the right data analytics course for your goals?
Choose a data analytics course by matching it to the skills required for analytics roles. Most roles expect SQL, Excel, Python or R, statistics, and dashboard tools like Tableau or Power BI.
If you are new to analytics, pick a structured program that starts with fundamentals and builds toward real projects. Dataquest’s guided paths show you which courses to take and teach each skill through hands-on practice.
What is data analytics?
Data analytics is the process of organizing, analyzing, and interpreting data to understand performance and support decision-making. It focuses on turning raw data into clear, measurable insights teams can act on.
Analysts use tools like SQL, spreadsheets, and data visualization software to calculate metrics, identify trends, and communicate results. Dataquest teaches these skills through interactive lessons where you work directly with real business data.
Is data analytics hard to learn?
Data analytics can feel hard at first, but hands-on practice makes it easier to learn. Working with real data helps you understand core concepts and develop data storytelling skills.
Dataquest breaks topics into small, practical steps and gives immediate feedback. This approach makes advanced concepts easier to grasp and helps you learn data analytics faster than video-based courses.
What are the best data analytics courses online?
The best data analytics courses focus on practical skills like SQL, Excel, Python or R, and dashboards, and let you apply them to real data.
Dataquest stands out because every course is interactive and project-focused. Learners consistently highlight how this approach helped them build confidence and create strong portfolios.
Are data analytics skills still in demand?
Yes, and demand continues to grow as companies rely more on data-driven decisions. While AI tools can automate some tasks, skilled analysts are needed to define metrics, interpret results, validate AI output, and communicate insights clearly. Dataquest’s projects help you build these skills so you stay relevant as the field evolves.
What jobs can you get with data analytics skills?
Data analytics skills prepare you for data analyst roles such as:
- Data Analyst
- Business Analyst
- Product Analyst
- Marketing Analyst
- Operations Analyst
- Business Intelligence Analyst
As you add tools like SQL, Excel, Python, Tableau, or Power BI, your opportunities expand. Dataquest paths help you learn these skills step-by-step.
Which data skills are essential for data analytics roles?
Data analytics roles require core skills that cover how data is collected, structured, cleaned, and analyzed. These skills help you work with raw data and turn it into clear, useful insights.
Key data analytics skills include data management, data modeling, data manipulation, and data mining. Together, they support tasks like preparing datasets, spotting patterns, and answering business questions with data.
What is the difference between data analytics, data analysis, and data science?
- Data analysis focuses on exploring data and presenting findings.
- Data analytics includes analysis but also involves performance tracking, dashboards, and business insights.
- Data science builds predictive models and uses machine learning.
Dataquest offers courses for each, so you can choose the direction that fits your goals.
Do you need a technical background before starting data analytics courses?
No, many Dataquest learners start with no coding experience. Our courses begin with the basics and use hands-on practice and real datasets to help you build confidence as you go.
What tools are commonly used in data analytics?
Analysts rely on SQL, Excel, Python, R, Tableau, Power BI, Git/GitHub, and libraries like pandas and NumPy. Dataquest teaches many of these tools directly in your browser so you can learn by doing, not by watching.
What is the best way to learn data analytics fast?
Follow a structured curriculum, practice regularly, and build real projects that show your skills. Dataquest speeds up learning data analytics with interactive lessons, guided paths, and portfolio-ready projects that mirror real analyst tasks.
How long will it take to become job-ready in data analytics?
Most learners reach job-ready skill level within 3–9 months, depending on how much time they study each week. Dataquest’s analytics paths are designed to help you progress quickly with real-world projects and consistent hands-on learning.
How much do data analytics courses cost?
Costs vary widely, from free introductory courses to monthly subscriptions on learning platforms to university programs costing thousands.
Dataquest offers an affordable subscription with full access to all data science, analytics, engineering, and AI courses. It also includes free lessons and a 14-day money-back guarantee, so you can start learning risk-free.
Will you get a certificate, and does it help you stand out?
Yes. Dataquest awards a certificate for every course and path you complete. Certificates help show your progress.
Your real advantage comes from the projects you build as you learn. Employers value practical experience, and learners often mention projects as one of the biggest benefits.