Data Science Certificate
This Data Science Certificate Program offers a direct route to a career as a data scientist, providing comprehensive training in Python and sought-after Machine Learning algorithms essential for the field.
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Participants can interact with the instructor,
ask questions, seek clarification,
and receive immediate feedback. -
You can receive a full refund before
the second session. After attending
the second session, you will not be eligible
for a refund. -
Access to the session that was originally
conducted in real time. -
You can retake the same course you attended.
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We will provide you with the notes for the course.
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We will provide you with the homework
assignments for additional practice. -
You can always reach out to the instructor
between sessions or after the course on Slack.
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The Data Science Certificate Program is a comprehensive collection of essential courses designed to equip you with the skills needed for a highly sought-after career as a data scientist. We've included a range of courses tailored to various skill levels, from Python for Beginners to more advanced topics.
Python Intensive: This course is ideal for beginners or those transitioning into programming. Developed through years of teaching experience, it offers an optimal learning path for mastering Python data analysis and machine learning. It focuses on vital concepts and common technical interview problems, enhancing your prospects for Python-related job opportunities.
Python for Beginners: Focusing on Python basics, this course lays the foundation for understanding data analysis techniques and machine learning algorithms.
Python Data Science Intensive: Dive into data analytics and science with tools like Pandas and NumPy, crucial for handling large datasets and understanding their relationships and impacts. This practical, online certification trains you for Data Analyst and Data Scientist roles, emphasizing industry standards and job requirements.
Machine Learning Intensive: This comprehensive course covers both Supervised and Unsupervised Machine Learning. Using Python and libraries like scikit-learn, TensorFlow, and Keras, you'll learn to craft predictive models. The course includes training in Linear and Polynomial Regression, Lasso and Ridge regularization, K Nearest Neighbors, eXtreme Gradient Boosting, and Adaptive Boosting, along with Decision Trees, Random Forests, and Naive Bayes Classifiers. You'll also learn data preprocessing techniques to standardize and normalize dataset features.
This program is a gateway to mastering the skills required for a rewarding career in data science, offering practical, real-life examples and hands-on experience to ensure you are job-ready.
Graduate Professionally Prepared
The Path to career
This Data Science Certificate Program offers a direct route to a career as a data scientist, providing comprehensive training in Python and sought-after Machine Learning algorithms essential for the field.
Career Options for Graduates
Courses in this Bundle
This is the recommended order, but some courses may be taken in a different order. See the FAQ for more details.
The primary aim of this course is to equip you with the ability to write code independently. We assure you that, upon completion, you will possess the skills to craft your own programs adeptly, enabling you to apply Python for data science, machine learning, finance, or marketing.
In our Python Data Science Intensive course, you'll acquire the fundamental skills crucial for a Data Science career, including the ability to gather, describe, and interpret data. Dive into the world of Python packages for Data Science with an emphasis on tools like Pandas, NumPy, and Matplotlib. By unlocking the full potential of Python for data science, you'll pave your way to becoming a proficient data analyst.
Join our comprehensive course where you'll master both Supervised and Unsupervised Machine Learning. Discover the secrets to crafting precise predictive models that propel your projects to new heights. With Python as your canvas and scikit-learn, TensorFlow, and Keras as your brushes, you'll create intelligent systems that understand patterns, make predictions, and elevate your skills to the next level. Throughout the course, you will learn how to describe data, interpret data, and build predictive models.
Instructors
Art Yudin
Earn a Certificate
Upon completion of all courses, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!
Testimonials
I loved Art! He’s super patient and answers all questions! I recommend this class for all python beginners!! I had no knowledge of python prior to this class
Always enjoy taking a class with Art. He is knowledgeable and on top of his game. His class is quick paced but easy to follow... is patient with questions
I took Introduction to Python and Web Scrapping with Art and the class was great!
Took Python for Data Science Immersive with Art. Great instructor! Boost my knowledge within very short time frame!
Art is very thorough, helpful and able to break down content in a way it is easily digestible by those in attendance.
Art is great. Very generous with time and knowledge and truly helpful. Great if you have no programming knowledge or if you're a more advanced student.
Art is super helpful and attentive to every question.
Art teaches Python in a very understandable way.
Art has a ton of experience in teaching the basics of python to people who have no previous coding experience. The class format is great - we start with lectures and go right into practice problems to use what we just learned. 100% would recommended!
Art does a great job meeting everyone at their level and making sure that everyone feels challenged.
Questions? Check here
While a strong background in mathematics can be beneficial when delving deeper into machine learning, it is not an absolute requirement to get started. The level of mathematical knowledge you need depends on your goals within the field of machine learning.
Upon completing the program, you'll be awarded a certificate attesting to your proficiency in Python. While this certification enhances your credentials for Python jobs, it's crucial to recognize that the true merit lies in the knowledge you gain at RoboticView and your capacity to independently practice Python coding. At RoboticView, alongside guiding you through practical Python problems and their solutions, we prioritize equipping you with the skills necessary to excel in job interviews.
You don't need to install anything before attending this free Python class. We'll be utilizing the Google online solution, Google Colab https://colab.research.google.com/, which only requires a Google login and password. With Colab, you can leverage the capabilities of well-known Python libraries to analyze and visualize data.
Python Intensive serves as a fundamental stepping stone to Python Data Science. Within Python Intensive, we establish a strong foundation by imparting essential Python skills, which you can subsequently leverage in Python for Data Science to collect, manipulate, and analyze data.
While individuals with prior Python expertise can directly enroll in Python Data Science, newcomers to Python programming are strongly encouraged to begin with Python Intensive for a smoother learning experience.
Yes, after each session we provide a relevant exercise so you could practice Python syntax and functions.
Python, a high-level and versatile programming language, offers a simpler syntax compared to languages like C#, C++, or Java. Consequently, learning Python syntax is a faster process, with many individuals achieving proficiency in as little as six months. Your mastery of Python largely hinges on your daily coding practice; Dedicating 5-7 hours each day could provide you with a working knowledge of Python in just two months.
While a strong background in mathematics can be beneficial when delving deeper into machine learning, it is not an absolute requirement to get started. The level of mathematical knowledge you need depends on your goals within the field of machine learning.
Upon completing the program, you'll be awarded a certificate attesting to your proficiency in Python. While this certification enhances your credentials for Python jobs, it's crucial to recognize that the true merit lies in the knowledge you gain at RoboticView and your capacity to independently practice Python coding. At RoboticView, alongside guiding you through practical Python problems and their solutions, we prioritize equipping you with the skills necessary to excel in job interviews.
You don't need to install anything before attending this free Python class. We'll be utilizing the Google online solution, Google Colab https://colab.research.google.com/, which only requires a Google login and password. With Colab, you can leverage the capabilities of well-known Python libraries to analyze and visualize data.
Python Intensive serves as a fundamental stepping stone to Python Data Science. Within Python Intensive, we establish a strong foundation by imparting essential Python skills, which you can subsequently leverage in Python for Data Science to collect, manipulate, and analyze data.
While individuals with prior Python expertise can directly enroll in Python Data Science, newcomers to Python programming are strongly encouraged to begin with Python Intensive for a smoother learning experience.
Yes, after each session we provide a relevant exercise so you could practice Python syntax and functions.
Python, a high-level and versatile programming language, offers a simpler syntax compared to languages like C#, C++, or Java. Consequently, learning Python syntax is a faster process, with many individuals achieving proficiency in as little as six months. Your mastery of Python largely hinges on your daily coding practice; Dedicating 5-7 hours each day could provide you with a working knowledge of Python in just two months.
You don't need to install anything before attending this free Python class. We'll be utilizing the Google online solution, Google Colab https://colab.research.google.com/, which only requires a Google login and password. With Colab, you can leverage the capabilities of well-known Python libraries to analyze and visualize data.
Python Intensive serves as a fundamental stepping stone to Python Data Science. Within Python Intensive, we establish a strong foundation by imparting essential Python skills, which you can subsequently leverage in Python for Data Science to collect, manipulate, and analyze data. While individuals with prior Python expertise can directly enroll in Python Data Science, newcomers to Python programming are strongly encouraged to begin with Python Intensive for a smoother learning experience.
Yes, after each session we provide a relevant exercise so you could practice Python syntax and functions.
Python, a high-level and versatile programming language, offers a simpler syntax compared to languages like C#, C++, or Java. Consequently, learning Python syntax is a faster process, with many individuals achieving proficiency in as little as six months. Your mastery of Python largely hinges on your daily coding practice; Dedicating 5-7 hours each day could provide you with a working knowledge of Python in just two months.
Yes, after each session we provide a relevant exercise so you could practice Python syntax and functions.
Python, a high-level and versatile programming language, offers a simpler syntax compared to languages like C#, C++, or Java. Consequently, learning Python syntax is a faster process, with many individuals achieving proficiency in as little as six months. Your mastery of Python largely hinges on your daily coding practice; Dedicating 5-7 hours each day could provide you with a working knowledge of Python in just two months.