Data Science Courses
Online
216 classes with availability
Python for Data Science (Self-Paced)
Noble Desktop See all classes by this school - Self-paced Video Training
Kickstart your data science journey with our self-paced Python for Data Science course! Learn Python fundamentals, analyze data with Pandas and NumPy, and create stunning visualizations—all while building a strong foundation for machine learning.
Python Data Visualization & Interactive Dashboards (Self-Paced)
Noble Desktop See all classes by this school - Self-paced Video Training
Transform raw data into compelling visuals and interactive dashboards using Python libraries including Pandas, Plotly, and Dash. Work through real-world projects at your own pace, deploy them online, and build a portfolio that demonstrates your data skills to potential employers.
Python Data Science & AI Machine Learning (Self-Paced High School & College)
Noble Desktop See all classes by this school - Self-paced Video Training
In this summer program for high school students, you'll learn Python for data science and machine learning.
Excel, Finance & Investing Summer Program (High School)
NextGen Bootcamp See all classes by this school @ Live Virtual
Learn Microsoft Excel, finance, and stock market investing during this thorough summer program. Build the know-how you need for college and internships while soaking up insight from top instructors. Lift your finance and business savvy in this NYC-based high school program.
Jun 28th
10am–4pm ET
Meets 5 Times
Aug 9th
10am–4pm ET
Meets 5 Times
Python: Data Science & AI Machine Learning (High School)
NextGen Bootcamp See all classes by this school @ Live Virtual
Sign up for this live online summer program and pick up Python for data science and machine learning. Build the abilities to analyze and graph data through Python's powerful libraries. A great fit for high school students with an interest in coding.
Jun 28th
10am–1pm ET
Meets 14 Times
Jun 28th
1:30–4:30pm ET
Meets 14 Times
Jul 19th
10am–4pm ET
Meets 9 Times
Aug 2nd
10am–4pm ET
Meets 9 Times
FinTech Summer Program (High School)
NextGen Bootcamp See all classes by this school @ Live Virtual
Build a competitive edge in finance and data science through the interactive FinTech Summer Program for high school students in NYC at NextGen Bootcamp. Pick up Microsoft Excel, stock market investing, and Python for data analysis so you can thrive in college and internships. Investigate the world of finance and pick up essential abilities valued by employers.
Jun 28th
10am–4pm ET
Meets 14 Times
Jul 19th
10am–4pm ET
Meets 14 Times
Data Science & AI Certificate Online (Self-Paced)
Virtual Design & Construction Institute See all classes by this school - Self-paced Video Training
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles.
Python Machine Learning (Self-Paced)
Noble Desktop See all classes by this school - Self-paced Video Training
Build the fundamentals of machine learning with our self-paced Python Machine Learning Course. Learn to create predictive models, study data, and apply powerful algorithms like decision trees and random forests, no advanced math required.
Excel for Data Analytics
Noble Desktop See all classes by this school - Virtually Online
Bring professional rigor to how you organize and interpret data in this hands-on course. You'll work through advanced Excel techniques for sorting, filtering, grouping, and visualizing data, leaving with stronger analytics skills for better reporting.
Oct 13th
10am–5pm ET
Meets 3 Times
Nov 9th
10am–5pm ET
Meets 3 Times
Jan 5th
10am–5pm ET
Meets 3 Times
Jan 5th
6–9pm ET
Meets 6 Times
Jan 10th
10am–5pm ET
Meets 3 Times
This class has 8 more dates.
Tap here to see more
Data Science Certificate
Noble Desktop See all classes by this school - Virtually Online
Prepare for an in-demand career in data science through this beginner-friendly program. Build expertise in Python programming, SQL querying, and machine learning to analyze and shape data. You'll work on real-world projects, build dynamic dashboards, and create predictive models, equipping you with the skills to land entry-level roles in data science and Python engineering.
Oct 24th
10am–5pm ET
Meets 18 Times
Oct 25th
10am–5pm ET
Meets 17 Times
Oct 26th
10am–5pm ET
Meets 18 Times
Oct 27th
6–9pm ET
Meets 36 Times
Nov 23rd
10am–5pm ET
Meets 18 Times
This class has 10 more dates.
Tap here to see more
ChatGPT: Mastering the Basics
Prompt Yes! See all classes by this school
Unlock ChatGPT's full capabilities through professional training that covers foundational settings through sophisticated integrations. Customize outputs, overcome free version restrictions, and leverage advanced features for content generation and data analysis. Boost your productivity and share these powerful skills with colleagues and teammates.
Oct 11th
12–3pm ET
Oct 16th
9am–12pm ET
Oct 17th
12–3pm ET
Oct 18th
12–3pm ET
Oct 23rd
9am–12pm ET
This class has 1 more date.
Tap here to see more
Data Analytics Foundations Course Online (Self-Paced)
Noble Desktop See all classes by this school - Self-paced Video Training
Look at how data powers strategic decision-making by building a solid handle on descriptive and inferential statistics. Learn how to analyze trends, model outcomes, and visualize data through foundational tools like regression, probability distributions, and forecasting methods. Grow key skills in predictive and prescriptive analytics put to use across industries.
AI for the Workplace with Claude
Noble Desktop See all classes by this school
Boost your workplace productivity with Claude by learning how to streamline planning, scheduling, and communication using AI. Make smarter decisions while understanding the real-world challenges and responsibilities of using AI effectively.
Nov 2nd
10am–5pm ET
Meets 2 Times
Dec 7th
10am–5pm ET
Meets 2 Times
Jan 12th
10am–5pm ET
Meets 2 Times
Feb 18th
10am–5pm ET
Meets 2 Times
Mar 24th
10am–5pm ET
Meets 2 Times
This class has 8 more dates.
Tap here to see more
AI for Marketing (Self-Paced)
Noble Desktop See all classes by this school - Self-paced Video Training
Discover how to integrate AI into your digital marketing strategy with this comprehensive course. Learn to apply AI-powered tools to optimize SEO and SEM, refine social media campaigns, analyze performance data, and improve the effectiveness of paid advertising.
AI Red Teaming and Assurance (Self-Paced)
Noble Desktop See all classes by this school - Self-paced Video Training
Twelve hours of self-paced AI red teaming and assurance — engagement planning, adversarial testing technique, assurance cases, and testing agentic systems. No lab required.
Government AI Foundations Bootcamp (Self-Paced)
Noble Desktop See all classes by this school - Self-paced Video Training
This course introduces artificial intelligence by building a strong foundation in technologies like machine learning, deep learning, and large language models, and shows how AI can enhance productivity, decision making, and problem solving while addressing ethical, legal, and regulatory considera...
AI for Project Management (Self-Paced)
Noble Desktop See all classes by this school - Self-paced Video Training
Build smarter, more efficient project workflows at your own pace by learning how to apply AI to planning, risk management, and communication. Explore real-world federal use cases while navigating key compliance, ethics, and governance considerations.
Data Analysis Basic (Self-Paced)
Noble Desktop See all classes by this school - Self-paced Video Training
Build a strong foundation in data analysis by learning how to turn raw data into clear, actionable insights using essential tools like Excel. Explore core concepts such as data quality, visualization, and governance while gaining hands-on experience with real-world analytics workflows.
AI Prompt Engineering for the Workforce (Self-Paced)
Noble Desktop See all classes by this school - Self-paced Video Training
This course equips participants with foundational prompt engineering skills to boost productivity, strengthen clarity, and support more effective AI use at work.
AI Fundamentals for Government Employees (Self-Paced)
Noble Desktop See all classes by this school - Self-paced Video Training
This course introduces you to the world of artificial intelligence through core concepts like machine learning, deep learning, and large language models.
Reviews for Data Science Courses Online
Data Science Courses Online are rated 4.5 stars based on 87 verified reviews from actual CourseHorse.com purchasers.
-
ChatGPT: Mastering the Basics
Stephen was amazing..very patience, knowledgable and informative. Answered all my questions and went beyond to assist in ensuring my questions were answered!! -
ChatGPT: Mastering the Basics
Very helpful and detailed with practical information that can be used immediately. -
Midjourney for Beginners
I was able to get excellent direction to both understand the sign on process, (which is hard), and the Midjourney experience. The teacher was very attentive and helpful. -
Vibe Coding
The instructor was excellent. Help me a lot to understand much better ChatGPT -
Excel, Finance & Investing Summer Program (High School)
This class was great! I learned a lot while still having a good time, which is what made it so enjoyable. -
Excel, Finance & Investing Summer Program (High School)
Amazing class. Definitely would suggest it for anyone looking to go into business. -
Python: Data Science & AI Machine Learning (High School)
We covered something new every day, which made me feel that I was exploring a lot about Python. -
Python: Data Science & AI Machine Learning (High School)
The methods of teaching were very helpful and I learned a lot from this class. -
Python: Data Science & AI Machine Learning (High School)
Excellent class that immerses me in a deep and valuable understand of Python and data science! -
Online Programming Fundamentals with Python Part 2
Professional and proficient service teaching skills -
Online Programming Fundamentals with Python Part 1
Alekai McAdam, provided proficient and professional instructions for class, I learned a great deal of information. Thanks -
Python Immersive
I would highly recommend this course to anyone who is looking to gain some knowledge with Python. Thalo(course instructor) is the man! He explains things really well and shows great examples throughout his explanation. Again I highly recommend it. -
Python Immersive
I've really enjoyed this course. I've taken online courses but now I understand fundamentals and can right my own scripts. A lot of personal attention. Small group. -
Big Data with Amazon Cloud, Hadoop/Spark and Docker
It is one of my best decisions to attend NYC Data Science Academy. During the bootcamp, I gained more confidence in programming. The coding skills taught are always on trend. Followed by the schedule of the bootcamp, I smoothly transferred my career path into data science. I do not only learned R, Python with corresponding practical, popular libraries in industrial applications but also acquired the ability in quickly learning new skills. NYC Data Science Academy provides students a good platform to communicate computer programming, machine learning algorithms, and its applications. Instructors and TAs are always helpful and patient for students to overcome difficulties in the study and provide supports. At the same time, students could have a blog platform with editing help to present projects. Interview skill development and career advice from Chris and Vivian are powerful to develop students as strong competitors in the job market. I really appreciate the knowledge, skills, and support I acquired from NYC Data Science Academy. I highly recommend NYC Data Science Academy to anyone who is interested in this career. -
Big Data with Amazon Cloud, Hadoop/Spark and Docker
I attended the 12-week boot-camp at NYC Data Science Academy from Sep. 2016 to Dec. 2016. Before that I got my PhD in Chemistry and worked 6 years' as a Post-doc in biochemistry. The curriculum was well organized. 12-week courses covered R and Python programming, statistical analysis and machine learning. During the last few weeks, big data tools like Hadoop and Spark were also covered. For one coming from academic background, the breadth of topics and difficulty level felt just right. The boot-camp courses weren't supposed to teach you everything, but they did prepare me very well if I wanted to explore further data science topics. The boot-camp was intense. I was only sleeping for 4 hours during boot-camp days. It was demanding both physically and mentally, but I wasn't alone in the journey. The instructors, TAs and classmates were all amazing. This boot-camp takes students from very different backgrounds, which I think is a unique advantage. I was able to see people applying data science tools to their own expertise brilliantly, fashion, marketing, IT, health care... It was very helpful for me who was looking to step outside of academia. The job assistance is good. There is networking, resume-editing and mock-interviews. Vivian also personally helps students tracking their job hunting status. I wasn't able to use lots of their services due to my personal situation, but for the one position I applied for I was able to impress the hiring manager with the machine learning knowledge and skills I acquired at NYCDSA and got an offer the same day. -
Big Data with Amazon Cloud, Hadoop/Spark and Docker
I attended the Big Data with Hadoop and Spark course, hosted and led by NYC Data Science Academy. My objective was two-fold: first, to gain a deeper and practical understanding on emerging 'Big Data' technologies, more so than what academic publications or industry white papers currently provide; and, second, to familiarize myself with the skill set and experience to expect from the new generation statisticians, or Data Scientists. With a background in Business Intelligence, Architecture, Risk Management and Governance on Wall Street, I find that foundational skills remain the same: mathematics and statistics. However, with the commoditizing of data storage and massively parallel computing, Data Scientist today are capable of solving problems reserved for an exclusive few in decades past. The course did not cover configuration of the Hadoop environment, but thanks to the engaging and knowledgeable instructor, clues on challenges and potential pitfalls were generously shared. I highly recommend this course not only to professionals or recent graduates looking to hone data analysis skills, but to anyone with an interest or stake in Big Data. -
Data Science with R: Data Analysis and Visualization
This was a great class that I truly enjoyed attending every Saturday for 5 weeks. The class had a pretty steep learning curve but the slides and the homeworks did a good job of teaching the material. Our instructor, Derek, was an R guru and could answer any question we threw at him. I definitely plan to continue learning R and I can attribute my enthusiasm to having taken this class. -
Data Science with R: Data Analysis and Visualization
I attended NYCDSA 5-week course (5 full-time days, one per week) in 4Q16 as part of my preparation to start the same school bootcamp. This was a great introductory start to learn R due to the comprehensive syllabus and dedicated teacher effort. About the syllabus, you will learn Base R syntax and principal data structures identification and manipulation plus a bunch of other packages (e.g. DPLYR) that will make your life easier when treating data sets. The instructor was a Sr. Data Scientist that really gave us two sides: theoretical and hands-on day-to-day professional experience views. This was very helpful. I found that there're lots of courses out there but most of the times taught by recently-graduated teachers that haven't applied a lot of the syllabus to real-life professional situations. This for me was a plus. The only soft point of the course was that I would have liked to go more deeper into web scrapping, yet it's true this course name is 'data analysis and visualization in R' and not 'Web scrapping using R'. One advice only for prospect students: block your agendas during five weeks since you will need a lot of time to review the materials and deliver exercises, which after all it's not a bad thing as it makes you feel good as you feel you have learned a lot. Highly recommended. -
Data Science with R: Data Analysis and Visualization
This course was a masterpiece. Derek Darves the instructor, quickly brought us to competency with the R programming language. Then he expanded the course by introducing the packages used for analysis and visualization, progressing through introductory use to somewhat elegant and sophisticated programming challenges. Ultimately Derek brought us to a self-sufficiency level for continuing our R education. The course was a pleasure as Derek is clearly an R expert and aficionado weaving many practical tips and historical insights into the lectures. His programming experience, statistical insights and extensions of the course materials gave it a graduate level feel, while never ignoring the fundamental skills being taught. I highly recommend it. -
Introductory Python
I took the beginner level Python class with John Downs and really had a great experience. John is very knowledgeable about Python and programming in general, and was able to be helpful to students of all levels in the class. The exercises in class and the homework got our hands dirty with the language and the final project was a great way to create a real result by the end of the course. Overall it was challenging, but a valuable intro to a useful tool that was easier to approach with real-life sessions than self-study demos on my own. I'll definitely take classes with NYC Data Science Academy in the future and would recommend it to my friends. -
Introductory Python
The instructor, John Downs, was very knowledgeable and did an excellent job of providing an overview in the key areas of Python. After the five week class I went from knowing essentially nothing about Python to using it as one of my "go to" tools in which I am able to accomplish tasks at work on a daily basis. -
Data Science with Python: Machine Learning
I took Machine Learning with Python and Data Analysis with Python in the Spring. I found both course useful and informative. The courses have given me a comprehensive and yet in-depth introduction into Machine Learning and Python. And these skills turn out to be invaluable at work. Most importantly, Vivian is an excellent instructor. She is immensely helpful and supportive which makes the learning process quite enjoyable. Definitely recommend NYC Data Science Academy! -
Data Science with Python: Machine Learning
I took both Data Analysis and Machine Learning with Python with Vivian. I highly recommend these classes to anyone who wants to take their analytics skills beyond Excel, pivot tables, and averages and into more advanced predictive modeling methods. Luckily, a lot of the work has already been done for us by the developers who created pandas, matplotlib, statsmodels, and scikit-learn. I didn't know anything about these tools prior to taking this class. Vivian makes machine learning easy. At work I can now stand on the shoulders of Python's giants. Pretty cool. Extremely useful. -
Data Science with Python: Machine Learning
I have been taking classes at NYC data science academy, there is a reason I came back. I learned so much from both of the instructors I had. They really really do care about you and give you a lot of individual attention. You almost can't slack because they will be right there and push you to finish your problem sets. This is something you can't get just taking an on line class. I highly recommend anyone to take this class in person instead of on line. -
Data Science with Python: Data Analysis & Visualization
As a novice coder, this class was a great way to learn how I can manipulate and analyze data in Python. Would recommend for anyone interested in learning how to use python and apply to daily work. -
Data Science with Python: Data Analysis & Visualization
Great class. For only a 5 week class it is very comprehensive. Covers the basics and commonly used libraries used in python for data analysis as well has how to use them. Notebooks used in the class are a great go-resource after the class ends. Also a great community of data professionals and networking if you are thinking about a new gig. -
Data Science with Python: Data Analysis & Visualization
It's important when learning anything to get the fundamentals right. If you build bad habits, it can become difficult to fix them later on, especially if you have also built many dependencies on those bad habits. This is why when I wanted to start learning about data science, I chose to take this course to help me make the right choices from the very beginning. I would say that I got exactly what I came for. Tony is a very good instructor. He is able to express complicated concepts in an understandable way, and I would definitely say that now I understand enough about the Python ecosystem that I could start learning on my own if I wanted. -
ETL-Abinitio
Excellent Trainer. Takes more care to explain each and every component till we understand. Sound Knowledge in the subject. Scenario based hands on training. Flexible timing and 1 to 1 coaching. Good materials. Industry Ready once we complete. More interactive training. Learned Abinitio and Unix very easily. -
ETL-Abinitio
Excellent knowledge in Abinitio ETL and data warehousing concepts. Looks like he has got deep exposure to both the topics!!!! Highly recommended. -
ETL-Abinitio
He has got a very good understanding of Abinitio ETL. The classes were really good and helped a lot to strengthen my roots in Abinitio tool and the technology. Only thing is that we could not do practicals because of the online course but the notes would definitely help in future. -
ETL-Abinitio
I am glad that I decided to choose V-Peracto for ETL- Abinitio training course. Wonderful learning experience and I like the way the class is organized and good support staff. V-Peracto providing quality learning experience at affordable price. Thanks to my tutor. -
ETL-Abinitio
Great learning experience with proficient trainers in ETL-Abinitio. Flexible timings with hands on experience with real time scenarios. Good value for the money paid and I got placed in multi-national company. Thank you. -
ETL-Abinitio
Trainer has in depth knowledge on the technology which was very prominent in the way he categorizes the topic for training. He can easily understand the level of students and train accordingly. Exercises which was given after each class was very helpful and challenging. Highly recommended -
ETL-Abinitio
Excellent teaching. I love the teacher. I'm in USA, trained with the help of teamviewer online tool. He is very patient and told course in more details, many tips used in real project, also answered my questions very quickly though training got to end. His lesson is easy understanding. -
ETL-Abinitio
I have attended the ETL Ab Initio training by Venkat Narayana.It was an awesome training.He has explained both basics and advanced topics with examples.I am currently working in Australia, the training has helped me to understand all new requirements and to implement those requirements. -
Data Science with Python: Data Analysis & Visualization
This class was really enjoyable for me - it was a good way to get an introduction to a variety of very powerful Python libraries. Its certainly nowhere near as extensive as a full bootcamp, but if you're looking to be introduced to these concepts I couldn't recommend this more. I had Tony as an instructor and he was really helpful and did a great job of explaining concepts, and he took additional time to review homework solutions before class if we wanted. -
Data Science with Python: Data Analysis & Visualization
This class is overall very helpful. It was a little heavier on the visualization part than I would have liked, but still good. There is a lot of material in a short timeframe, which is good overall, but it requires some time to work on and get through. -
Python Data Visualization & Interactive Dashboards
I really enjoyed learning with Art as a beginner in python. As an instructor, Art is very knowledgeable and well-organized to the learning structures for his students. He also remains approachable after class hours for additional questions or concerns. Programming is never easy and having someone like Art for his willingness and interests to go extra miles to help students meet those learning goals is much appreciated. If you are really interested in learning python, I recommend this class! -
Python Data Visualization & Interactive Dashboards
I m a physician learning Computer Sciences at Columbia University. As most of us know the field is vast and its quite impossible to learn all that is needed, required or wanted in a stipulated time period. So i seek help of private Tutors and i try various courses, online as well as in class in New York city. I was not expecting much from practical programming class in flatiron, the price was good which encouraged me to risk my time. The class was diverse and the teacher was talented, he was able to evoke interest in the subject and patiently answered every stupid question that i had. If you wish to learn Python, i' m sure Practical Programming class will be very helpful. Don't be shy to contact me if you need tips from a struggling learner! -
Introduction to Structured Query Language (SQL) for Data Analytics
The material covered in this course is great for beginners. It's the basics that all need to know. But my favorite part was the instructor/professor. He is a very nice guy who knows how to make every student feel comfortable participating in discussions and answering example questions. The quizzes and business problems are great for you to know if you understand the topics or not. I would recommend this course and instructor/professor for anyone who needs a start with SQL. -
Introduction to Structured Query Language (SQL) for Data Analytics
Excellent instructor. Very thorough in going over all the course material that was included for the class. Answered any questions on problems if you didn't understand something.