Data Science Courses
Data Science is the field of turning raw data into meaningful insights and intelligent decisions. In this category, you'll learn how to collect, process, analyze, visualize, and model data using tools like Python, SQL, machine learning, and BI platforms — preparing you for real-world data-driven challenges.
4.6
Rated based on 132 reviews.
5,287 LearnersAlready enrolled
Gained skills:
Convolutional Neural NetworksData PreprocessingDynamic Programming MethodsGymnasium BasicsHyperparameter TuningImage Processing with OpenCVLinear Regression with PythonLogistic RegressionMachine Learning with scikit-learnModel Training and EvaluationMonte Carlo TechniquesMulti-Armed Bandit AlgorithmsNatural Language HandlingNatural Language ProcessingNeural NetworksObject Detection ApproachesPyTorch BasicsPython Classification ModelsPython Data StructuresPython ProgrammingReinforcement Learning FoundationsTemporal-Difference LearningTensorFlow Basics
Show MoreTake a short quiz and get closer to your goals!
80,000
Students have already successfully completed the courses and are applying their skills in the workplace
92%
Users find our courses useful
Courses
Courses
Career paths
Advantages
Why Codefinity
Career opportunities
FAQs
Related topics
Reviews
Pricing
Top courses
Courses
Courses
Career paths
Advantages
Why Codefinity
Career opportunities
FAQs
Related topics
Reviews
Pricing
Top courses
Browse Data Science courses and projects
4 hours
25 chapters
4 hours 32 chapters
4 hours 24 chapters
3 hours 18 chapters
2 hours 19 chapters
4 hours 28 chapters
4 hours 29 chapters
6 hours 37 chapters
3 hours 20 chapters
Level
Type of lesson
Technologies
course
Introduction to Neural Networks
4 hours 25 chaptersAdvanced
3 STUDYING NOW
Acquired skills: Neural Networks, Model Training and Evaluation, Data Preprocessing, Hyperparameter Tuning, Machine Learning with scikit-learn
course
ML Introduction with scikit-learn
4 hours 32 chaptersIntermediate
12 STUDYING NOW
Acquired skills: Machine Learning with scikit-learn, Model Training and Evaluation, Hyperparameter Tuning
course
Introduction to NLP
4 hours 24 chaptersAdvanced
3 STUDYING NOW
Acquired skills: Natural Language Processing, Natural Language Handling
course
Introduction to TensorFlow
3 hours 18 chaptersAdvanced
3 STUDYING NOW
Acquired skills: TensorFlow Basics, Neural Networks, Python Data Structures, Data Preprocessing
course
Linear Regression with Python
2 hours 19 chaptersIntermediate
8 STUDYING NOW
Acquired skills: Linear Regression with Python, Model Training and Evaluation
course
Classification with Python
4 hours 28 chaptersIntermediate
2 STUDYING NOW
Acquired skills: Python Programming, Python Classification Models, Logistic Regression, Data Preprocessing, Model Training and Evaluation, Hyperparameter Tuning
course
Computer Vision Essentials
4 hours 29 chaptersIntermediate
6 STUDYING NOW
Acquired skills: Image Processing with OpenCV, Convolutional Neural Networks, Object Detection Approaches
course
Introduction to Reinforcement Learning
6 hours 37 chaptersAdvanced
2 STUDYING NOW
Acquired skills: Reinforcement Learning Foundations, Multi-Armed Bandit Algorithms, Dynamic Programming Methods, Monte Carlo Techniques, Temporal-Difference Learning, Gymnasium Basics
course
PyTorch Essentials
3 hours 20 chaptersAdvanced
2 STUDYING NOW
Acquired skills: PyTorch Basics, Neural Networks, Model Training and Evaluation
Choose a career pathComprehensive programs to master a career pathway
Only for Ultimate
5 Courses
148 Tasks
Codefinity advantages
AI-Assisted Learning
Embrace the fascination of Tech Skills! Our AI-assistant provides real-time feedback, personalized hints, and error explanations, empowering you to learn with confidence.
Workspaces
With Workspaces, you can create and share projects directly on our platform. We've prepared templates for your convenience
Learning tracks
Take control of your career development and commence your path into mastering the latest technologies
Real-world projects
Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers
Why Codefinity stands out
Video content
Downloadable materials
Esteemed certificates
Interactive learning environment
Error correction
AI assistant
Access to all content with one subscription
Codefinity
Video-based learning platforms
Codefinity
Video-based learning platforms
Video content
Downloadable materials
Esteemed certificates
Interactive learning environment
Error correction
AI assistant
Access to all content with one subscription
Career opportunitiesLearn about the most popular professions, average salaries, and companies actively seeking specialists in this field.
Data Scientist
Big Data Analyst
NLP Engineer
Deep Learning Engineer
AI Researcher
$149k
$197k
$246k
Min
Average
Max
Annual salary
(Average in the US)
Hiring companies
*Source: Glassdoor
Chosen by students of top schools
Including 30 out of top-30 U.S. colleges
Data Science Courses: Key Info and Questions
Introduction to Data Science Courses
We have plenty of courses for any aspect of data science, including data visualization (like "Ultimate visualization with Python"), data manipulation with Python (like "Ultimate NumPy" or "Advanced Techniques in pandas"), SQL (like "Introduction to SQL") and machine learning (like "ML Introduction with scikit-learn" or "Introduction to Neural Networks").
Benefits of our Data Science courses
We are providing our clients with comprehensive curriculum, hands-on experience and expert instructors.
Career opportunities after completion of Data Science courses
After completing data science course you potentially can start career at variety of data-driven positions, including data scientist, data analyst, machine learning analyst, business intelligence analyst, data engineer etc.
Data Science Options
We have plenty of courses for any aspect of data science, including data visualization(like "Ultimate visualization with Python"), data manipulation with Python (like "Ultimate NumPy" or "Advanced Techniques in pandas"), SQL (like "Introduction to SQL") and machine learning (like "ML Introduction with scikit-learn" or "Introduction to Neural Networks").
Certificate Information
After completing any of our data science related courses, you will receive a certificate that validates your skills and knowledge in data science.
How to Choose the Suitable Data Science Course?
Choose a data science course based on your current skill level and career goals. If you're new, start with beginner-friendly courses covering Python, data analysis, and visualization. For those with experience, look for courses focused on machine learning, deep learning, or AI-assisted workflows. Prioritize hands-on projects, real datasets, and tools like Jupyter, Pandas, or ChatGPT-based assistants to ensure practical, industry-relevant learning.
Which course is best in the category of Data Science Courses?
We have a plenty of good courses, related to data science field, among which we can highlight "Advanced Techniques in pandas", "Ultimate Visualization with Python" and "ML Introduction with scikit-learn".
Why should I consider taking an online Data Science course with your company?
We are providing our clients with comprehensive curriculum, hands-on experience and expert instructors.
Tips for successful Data Science course completion
You need to stay organized, learn actively and practice regulary.
What is the Cost of Training for Data Science Courses?
We offer flexible pricing options. Our Pro Plan starts at $49 per month or $99 for three months, with savings on our Pro Annual Plan at $144. Our Ultimate Plan is $59 per month, $147 for three months, or $299 annually. Each plan includes access to expert-crafted content, interactive challenges, and certification.
Which Data Science Course is Best Suited for Beginners?
For beginners good options may be "Introduction to SQL" and "Pandas First Steps".
What are the key skills required to excel in Data Science?
To succeed in data science, you need a mix of technical and analytical skills. Key areas include Python or R programming, data wrangling with tools like Pandas, statistical thinking, and the ability to draw insights from data. Experience with machine learning libraries, data visualization tools, and SQL is also essential. Additionally, critical thinking, communication, and familiarity with AI-assisted tools can significantly boost your efficiency and decision-making.
How does Data Science compare to Machine Learning?
Data Science focuses on the entire process of working with data, while machine learning is a subset of data science that specifically deals with developing and applying algorithms that allow computers to learn from and make predictions based on data.
What impact does Data Science have on the industry?
Data Science drives innovation and efficiency across various industries by providing actionable insights, improving decision-making, and optimizing processes. For example, it helps businesses understand market trends, customer behavior, and operational efficiency.
Is a data science course difficult?
The difficulty level can vary depending on your background and the course's complexity. Courses that offer hands-on practice and support can make the learning process more manageable. Basic understanding of statistics and programming can help ease the difficulty.
What degree do you need for data science?
While a specific degree is not always required, many data scientists hold degrees in fields such as Computer Science, Statistics, Mathematics, or Engineering. Some positions may require advanced degrees or specialized certifications, but practical experience and skills can also be highly valuable.
What Our Users Say
Join 1.5+ million advancing in AI and data skills at Codefinity
Ready to get started?
ProBest intro offer$12 /monthBilled annually
100+ Top-Rated coursesCompletion certificatesAI-Assistant in all courses
20+ hands-on Real-world projectsPersonalized study tracksUnlimited workspacesUltimateAll you need to boost your career$25 /monthBilled annually
100+ Top-Rated coursesCompletion certificatesAI-Assistant in all courses20+ hands-on Real-world projectsPersonalized study tracksUnlimited workspacesTop courses in the Data Science category
1. | Introduction to Neural Networks |  4 hours |  25 chapters |
2. | ML Introduction with scikit-learn | 4 hours | 32 chapters |
3. | Introduction to NLP | 4 hours | 24 chapters |
4. | Introduction to TensorFlow | 3 hours | 18 chapters |
5. | Linear Regression with Python | 2 hours | 19 chapters |
1. Introduction to Neural Networks
Hours
Chapters2. ML Introduction with scikit-learn
HoursChapters3. Introduction to NLP
HoursChapters4. Introduction to TensorFlow
HoursChapters5. Linear Regression with Python
HoursChaptersRelated topics on blog
Data Analytics
Data Science
by Kyryl SidakData Scientist, ML Engineer
Artificial Intelligence
Exploring IT Professions
Machine Learning
by Andrii ChornyiData Scientist, ML Engineer
Data Visualization
Data Analytics
Data Manipulation
Excel
by Anastasiia TsurkanBackend Developer
