ML Introduction with scikit-learn
Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project.
This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.Show more
Course
90 Learners Already enrolledIntermediate
Recommended experience32 chapters
Flexible schedule
Learn at your own paceView course modules
Outcomes
Learning outcomes
Modules
Testimonials
Recommendations
Codefinity advantages
FAQs
Outcomes
Learning outcomes
Modules
Testimonials
Recommendations
Codefinity advantages
FAQs
What you will learn
- Gain foundational insights into Machine Learning concepts.
- Explore data types and preprocessing techniques in Scikit-learn.
- Understand Machine Learning workflows including training sets and models.
- Grasp data scaling methods: StandardScaler, MinMaxScaler, MaxAbsScaler.
Details to know
Career certificate
Add to your LinkedIn profile
Assessments
32 assignments
AI copilot
Your personal assistant
Trusted by employees of leading companies
Join employees from leading companies and many of the Fortune 100 who trust Codefinity to elevate their skills.
This course is for you, if...
You’re preparing for a promotionPosition yourself for career advancement by acquiring new skills and knowledge that will make you stand out to your employer
You’re a jobseeker looking to enhance your resumeAdd valuable skills to your resume and make yourself more attractive to potential employers. This course will give you a competitive edge in the job market.
You want to escape the 9-to-5 grindOur course provides the skills needed to transition into freelancing or remote work, giving you the freedom to work on your terms.
You’re passionate about continuous learningStay ahead in the rapidly evolving IT field with our comprehensive course. It’s designed for lifelong learners who want to continuously enhance their skills and knowledge.
Data Engineer Course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
Share it on social media and in your performance review
There are 4 modules in this course
Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project. This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.Learn the Machine Learning concepts and the ML project workflow.
Preprocessing is probably the most important stage of an ML project. This chapter covers the preprocessing steps needed for almost any dataset.
- Scikit-learn ConceptsPreview
- Getting Familiar with DatasetPreview
- Dealing with Missing ValuesPreview
- Challenge: Imputing Missing ValuesPreview
- OrdinalEncoderPreview
- One-Hot EncoderPreview
- LabelEncoderPreview
- Challenge: Encoding Categorical VariablesPreview
- Why Scale the Data?Preview
- StandardScaler, MinMaxScaler, MaxAbsScalerPreview
- Challenge: Scaling the FeaturesPreview
A pipeline is a neat way to combine all the preprocessing steps as well as a model. Pipelines make it much easier to train and use a model.
Modeling is the most fun stage of an ML project. Let's learn to build, fine-tune and evaluate the model!
- ModelsPreview
- KNeighborsClassifierPreview
- Evaluating the ModelPreview
- Cross-ValidationPreview
- Challenge: Evaluating the Model with Cross-ValidationPreview
- GridSearchCVPreview
- The Flaw of GridSearchCVPreview
- Challenge: Tuning Hyperparameters with RandomizedSearchCVPreview
- Modeling SummaryPreview
- Challenge: Putting It All TogetherPreview
Chosen by students of top schools
Including 30 out of top-30 U.S. colleges
Why people choose Codefinity for their career
Kwizera Mugisha
The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.
Sherry Barnes-Fox
My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.
Bill Wagner
I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.
Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.
Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.
Steve Bruening
The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
Learner reviews
5.0
2 reviews
5
100%
4
0%
3
0%
2
0%
1
0%
Showing 2 of 2 reviews
Ivan Derzhylo
5
Reviewed on Feb 9, 2024
Excellent quality of all courses I have passed
5
Reviewed on Nov 29, 2023
Easy to use and quick
Recommended if you're interested in learning Python
course
Introduction to SQL
This course is perfect for beginners ready to explore the world of SQL. Whether you're just starting out in database management or aiming to use SQL for your application development projects, this course covers the essentials. You'll quickly learn how to leverage the full potential of SQL, from querying and managing data to seamlessly integrating it into real-world applications. By the end of the course, you'll have the confidence and skills to solve practical problems with SQL and enhance your development process.
4.8
(83)
4 hours
41 chaptersBeginner
course
Pandas First Steps
Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.
4.4
(5)
4 hours 33 chaptersIntermediate
course
Excel Formulas
Unlock the full potential of Excel by learning how to use formulas and functions to simplify tasks, analyze data, and work more efficiently. You'll explore everything from basic arithmetic and conditional logic to dynamic arrays and powerful lookup tools like VLOOKUP, MATCH, and INDIRECT. With practical examples and clear explanations, you'll build a solid foundation and discover smarter ways to manage and manipulate your spreadsheets.
4.5
(4)
1 hour 15 chaptersBeginner
course
Intermediate SQL
This course is perfect for those who already have a basic understanding of SQL and want to delve into more advanced concepts to craft more powerful queries. Throughout the course, you will become familiar with data grouping and filtering grouped data. You will also learn how to work with multiple tables simultaneously, including how to combine them. Additionally, you will explore different types of table joins and how to apply them in practice.
5.0
(4)
3 hours 25 chaptersIntermediate
project
Conducting Exploratory Data Analysis of Nobel Prizes
We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.
new
Only for Ultimate
1 hour 6 chaptersIntermediate
project
Extracting Text Meaning using TF-IDF
This project focuses on the design and implementation of a robust text summarizer, built using Python. By harnessing the capabilities of Python’s Natural Language Toolkit (NLTK), participants will gain hands-on experience in processing and analyzing textual data. The project covers a range of NLP techniques essential for text summarization. Participants will develop skills in parsing text and extracting meaningful content, learning how to filter essential information from large volumes of text.
new
Only for Ultimate
2 hours 12 chaptersIntermediate
course
NumPy in a Nutshell
NumPy is one of the basic packages for scientific computing in Python. The 'NumPy in a Nutshell' course will introduce you to such a powerful tool as NumPy, which is convenient for working with arrays of different sizes. After completing this course, you will be able to easily work with matrices, using various functions. In addition, during the course, you will learn basic methods for working with arrays that simplify code writing.
4.3
(3)
3 hours 21 chaptersIntermediate
project
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
new
Only for Ultimate
2 hours 10 chaptersAdvanced
course
Introduction to Neural Networks
Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.
5.0
(3)
4 hours 25 chaptersAdvanced
course
Advanced Techniques in pandas
This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.
4.5
(2)
4 hours 33 chaptersIntermediate
course
Ultimate NumPy
Unlock the full potential of Python's most essential library for numerical computing, NumPy. This comprehensive course is designed to take you from a beginner's understanding to an advanced level of proficiency in NumPy. Whether you're a data scientist, engineer, researcher, or developer, mastering NumPy is essential for efficient data manipulation, scientific computing, and machine learning.
5.0
(2)
3 hours 27 chaptersIntermediate
project
Identifying Fake News
In this project, we are going to classify news and identify the fake ones.
new
Only for Ultimate
1 hour 7 chaptersAdvanced
1 STUDYING NOW
course
Introduction to SQL
This course is perfect for beginners ready to explore the world of SQL. Whether you're just starting out in database management or aiming to use SQL for your application development projects, this course covers the essentials. You'll quickly learn how to leverage the full potential of SQL, from querying and managing data to seamlessly integrating it into real-world applications. By the end of the course, you'll have the confidence and skills to solve practical problems with SQL and enhance your development process.
4.8
(83)
4 hours 41 chaptersBeginner
course
Pandas First Steps
Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.
4.4
(5)
4 hours 33 chaptersIntermediate
course
Excel Formulas
Unlock the full potential of Excel by learning how to use formulas and functions to simplify tasks, analyze data, and work more efficiently. You'll explore everything from basic arithmetic and conditional logic to dynamic arrays and powerful lookup tools like VLOOKUP, MATCH, and INDIRECT. With practical examples and clear explanations, you'll build a solid foundation and discover smarter ways to manage and manipulate your spreadsheets.
4.5
(4)
1 hour 15 chaptersBeginner
course
Intermediate SQL
This course is perfect for those who already have a basic understanding of SQL and want to delve into more advanced concepts to craft more powerful queries. Throughout the course, you will become familiar with data grouping and filtering grouped data. You will also learn how to work with multiple tables simultaneously, including how to combine them. Additionally, you will explore different types of table joins and how to apply them in practice.
5.0
(4)
3 hours 25 chaptersIntermediate
project
Conducting Exploratory Data Analysis of Nobel Prizes
We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.
new
Only for Ultimate
1 hour 6 chaptersIntermediate
project
Extracting Text Meaning using TF-IDF
This project focuses on the design and implementation of a robust text summarizer, built using Python. By harnessing the capabilities of Python’s Natural Language Toolkit (NLTK), participants will gain hands-on experience in processing and analyzing textual data. The project covers a range of NLP techniques essential for text summarization. Participants will develop skills in parsing text and extracting meaningful content, learning how to filter essential information from large volumes of text.
new
Only for Ultimate
2 hours 12 chaptersIntermediate
course
NumPy in a Nutshell
NumPy is one of the basic packages for scientific computing in Python. The 'NumPy in a Nutshell' course will introduce you to such a powerful tool as NumPy, which is convenient for working with arrays of different sizes. After completing this course, you will be able to easily work with matrices, using various functions. In addition, during the course, you will learn basic methods for working with arrays that simplify code writing.
4.3
(3)
3 hours 21 chaptersIntermediate
project
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
new
Only for Ultimate
2 hours 10 chaptersAdvanced
course
Introduction to Neural Networks
Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.
5.0
(3)
4 hours 25 chaptersAdvanced
course
Advanced Techniques in pandas
This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.
4.5
(2)
4 hours 33 chaptersIntermediate
course
Ultimate NumPy
Unlock the full potential of Python's most essential library for numerical computing, NumPy. This comprehensive course is designed to take you from a beginner's understanding to an advanced level of proficiency in NumPy. Whether you're a data scientist, engineer, researcher, or developer, mastering NumPy is essential for efficient data manipulation, scientific computing, and machine learning.
5.0
(2)
3 hours 27 chaptersIntermediate
project
Identifying Fake News
In this project, we are going to classify news and identify the fake ones.
new
Only for Ultimate
1 hour 7 chaptersAdvanced
1 STUDYING NOW
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
Full catalog access
One subscription opens up this course and our entire catalog of projects and skills.Unlock access to ML Introduction with scikit-learn and the rest of our best-in-class catalog
Top-rated, curated contentNew courses added weeklyAI assistant to answer any questionsPassionate community of learnersProBest 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 workspacesYour subscription also includes:
course
Introduction to SQL
This course is perfect for beginners ready to explore the world of SQL. Whether you're just starting out in database management or aiming to use SQL for your application development projects, this course covers the essentials. You'll quickly learn how to leverage the full potential of SQL, from querying and managing data to seamlessly integrating it into real-world applications. By the end of the course, you'll have the confidence and skills to solve practical problems with SQL and enhance your development process.
4.8
(83)
4 hours 41 chaptersBeginner
course
Pandas First Steps
Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.
4.4
(5)
4 hours 33 chaptersIntermediate
course
Excel Formulas
Unlock the full potential of Excel by learning how to use formulas and functions to simplify tasks, analyze data, and work more efficiently. You'll explore everything from basic arithmetic and conditional logic to dynamic arrays and powerful lookup tools like VLOOKUP, MATCH, and INDIRECT. With practical examples and clear explanations, you'll build a solid foundation and discover smarter ways to manage and manipulate your spreadsheets.
4.5
(4)
1 hour 15 chaptersBeginner
course
Intermediate SQL
This course is perfect for those who already have a basic understanding of SQL and want to delve into more advanced concepts to craft more powerful queries. Throughout the course, you will become familiar with data grouping and filtering grouped data. You will also learn how to work with multiple tables simultaneously, including how to combine them. Additionally, you will explore different types of table joins and how to apply them in practice.
5.0
(4)
3 hours 25 chaptersIntermediate
project
Conducting Exploratory Data Analysis of Nobel Prizes
We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.
new
Only for Ultimate
1 hour 6 chaptersIntermediate
project
Extracting Text Meaning using TF-IDF
This project focuses on the design and implementation of a robust text summarizer, built using Python. By harnessing the capabilities of Python’s Natural Language Toolkit (NLTK), participants will gain hands-on experience in processing and analyzing textual data. The project covers a range of NLP techniques essential for text summarization. Participants will develop skills in parsing text and extracting meaningful content, learning how to filter essential information from large volumes of text.
new
Only for Ultimate
2 hours 12 chaptersIntermediate
course
NumPy in a Nutshell
NumPy is one of the basic packages for scientific computing in Python. The 'NumPy in a Nutshell' course will introduce you to such a powerful tool as NumPy, which is convenient for working with arrays of different sizes. After completing this course, you will be able to easily work with matrices, using various functions. In addition, during the course, you will learn basic methods for working with arrays that simplify code writing.
4.3
(3)
3 hours 21 chaptersIntermediate
project
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
new
Only for Ultimate
2 hours 10 chaptersAdvanced
course
Introduction to Neural Networks
Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.
5.0
(3)
4 hours 25 chaptersAdvanced
course
Advanced Techniques in pandas
This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.
4.5
(2)
4 hours 33 chaptersIntermediate
course
Ultimate NumPy
Unlock the full potential of Python's most essential library for numerical computing, NumPy. This comprehensive course is designed to take you from a beginner's understanding to an advanced level of proficiency in NumPy. Whether you're a data scientist, engineer, researcher, or developer, mastering NumPy is essential for efficient data manipulation, scientific computing, and machine learning.
5.0
(2)
3 hours 27 chaptersIntermediate
project
Identifying Fake News
In this project, we are going to classify news and identify the fake ones.
new
Only for Ultimate
1 hour 7 chaptersAdvanced
1 STUDYING NOW
course
Introduction to SQL
This course is perfect for beginners ready to explore the world of SQL. Whether you're just starting out in database management or aiming to use SQL for your application development projects, this course covers the essentials. You'll quickly learn how to leverage the full potential of SQL, from querying and managing data to seamlessly integrating it into real-world applications. By the end of the course, you'll have the confidence and skills to solve practical problems with SQL and enhance your development process.
4.8
(83)
4 hours 41 chaptersBeginner
course
Pandas First Steps
Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.
4.4
(5)
4 hours 33 chaptersIntermediate
course
Excel Formulas
Unlock the full potential of Excel by learning how to use formulas and functions to simplify tasks, analyze data, and work more efficiently. You'll explore everything from basic arithmetic and conditional logic to dynamic arrays and powerful lookup tools like VLOOKUP, MATCH, and INDIRECT. With practical examples and clear explanations, you'll build a solid foundation and discover smarter ways to manage and manipulate your spreadsheets.
4.5
(4)
1 hour 15 chaptersBeginner
course
Intermediate SQL
This course is perfect for those who already have a basic understanding of SQL and want to delve into more advanced concepts to craft more powerful queries. Throughout the course, you will become familiar with data grouping and filtering grouped data. You will also learn how to work with multiple tables simultaneously, including how to combine them. Additionally, you will explore different types of table joins and how to apply them in practice.
5.0
(4)
3 hours 25 chaptersIntermediate
project
Conducting Exploratory Data Analysis of Nobel Prizes
We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.
new
Only for Ultimate
1 hour 6 chaptersIntermediate
project
Extracting Text Meaning using TF-IDF
This project focuses on the design and implementation of a robust text summarizer, built using Python. By harnessing the capabilities of Python’s Natural Language Toolkit (NLTK), participants will gain hands-on experience in processing and analyzing textual data. The project covers a range of NLP techniques essential for text summarization. Participants will develop skills in parsing text and extracting meaningful content, learning how to filter essential information from large volumes of text.
new
Only for Ultimate
2 hours 12 chaptersIntermediate
course
NumPy in a Nutshell
NumPy is one of the basic packages for scientific computing in Python. The 'NumPy in a Nutshell' course will introduce you to such a powerful tool as NumPy, which is convenient for working with arrays of different sizes. After completing this course, you will be able to easily work with matrices, using various functions. In addition, during the course, you will learn basic methods for working with arrays that simplify code writing.
4.3
(3)
3 hours 21 chaptersIntermediate
project
Recognizing Handwritten Digits
In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.
new
Only for Ultimate
2 hours 10 chaptersAdvanced
course
Introduction to Neural Networks
Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.
5.0
(3)
4 hours 25 chaptersAdvanced
course
Advanced Techniques in pandas
This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.
4.5
(2)
4 hours 33 chaptersIntermediate
course
Ultimate NumPy
Unlock the full potential of Python's most essential library for numerical computing, NumPy. This comprehensive course is designed to take you from a beginner's understanding to an advanced level of proficiency in NumPy. Whether you're a data scientist, engineer, researcher, or developer, mastering NumPy is essential for efficient data manipulation, scientific computing, and machine learning.
5.0
(2)
3 hours 27 chaptersIntermediate
project
Identifying Fake News
In this project, we are going to classify news and identify the fake ones.
new
Only for Ultimate
1 hour 7 chaptersAdvanced
1 STUDYING NOW
Frequently asked questions
Is Codefinity worth the investment?
We believe so! Our courses, designed by industry experts, offer relevant, in-demand skills. With interactive content and practical projects, you’ll enhance your learning experience boost your career, and stay ahead in the job market.
Why do I need Codefinity?
Codefinity equips you with essential coding, data science, and AI skills for today's job market. Whether starting a new career, advancing in your current role, or learning something new, our interactive courses provide the knowledge and experience needed. Suitable for all skill levels, Codefinity boasts a Trustpilot rating of 4.4 and over 1.5 million users worldwide, ensuring you’re in good hands.
Is Codefinity good for beginners?
Absolutely! Our courses are designed for beginners and also offer advanced content for experienced learners. Whether you're new or expanding your knowledge, we have the right course for you.
Are the skills taught on Codefinity up-to-date with industry standards?
Yes, our curriculum is regularly updated to match current industry trends and best practices, ensuring you learn relevant skills, including the latest in data science and AI.
Are Codefinity certificates recognized by employers?
Our certificates demonstrate your skills. While employer recognition varies, many graduates have successfully used them to enhance resumes and advance careers.
How much time do I need to commit to Codefinity courses?
Our self-paced courses let you learn at your convenience. Spend as little or as much time as you need based on your schedule and goals.
Is there a satisfaction guarantee?
Yes, we offer a 30-day money-back guarantee. If you're not satisfied, request a refund within 30 days. See our refund policy for details.
How do I cancel my subscription?
Go to your account settings and follow the instructions to cancel. If you encounter issues, our support team is available to assist. Refer to our cancellation policy for details.
Still have questions?
Write your question here
