Thankfully we have 70 other Data Science Classes for you to choose from. Check our top choices below or see all classes for more options.
Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Tap into the power of Python for analyzing real-world data sets in this hands-on course at Noble Desktop. Step into Python fundamentals and learn how to create programs, work with data, visualize insights, and build machine learning models. Lift your data science skills with the Python for Data Science Bootcamp.
Nov 2nd
10am–5pm ET
Meets 5 Times
Nov 17th
6–9pm ET
Meets 10 Times
Nov 30th
10am–5pm ET
Meets 5 Times
Dec 13th
10am–5pm ET
Meets 5 Times
This class has 12 more dates.
Tap here to see more
Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & 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.
Nov 23rd
10am–5pm ET
Meets 18 Times
This class has 6 more dates.
Tap here to see more
Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & 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.
Nov 9th
10am–5pm ET
Meets 3 Times
This class has 7 more dates.
Tap here to see more
NYIM Training See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Build the Python programming language and learn advanced techniques for data visualization and machine learning in this data science bootcamp. Step into the fundamentals of Python before exploring the powerful tools of Pandas, Matplotlib, and Sci-Kit learn for analyzing and visualizing data. Push your data science skills to the next level at NYIM Training.
Nov 2nd
10am–5pm ET
Meets 5 Times
Nov 17th
6–9pm ET
Meets 10 Times
Nov 30th
10am–5pm ET
Meets 5 Times
Dec 13th
10am–5pm ET
Meets 5 Times
This class has 12 more dates.
Tap here to see more
Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online
Step into data visualization and build interactive dashboards using Python. Get hands-on with popular libraries like NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Dash Enterprise. Impress potential employers with your data science skill by working on real-life projects that show off your coding and analytical strength.
Nov 16th
10am–5pm ET
Meets 5 Times
Dec 14th
10am–5pm ET
Meets 5 Times
This class has 11 more dates.
Tap here to see more
Secure your booking now and we'll match any price drop within 48 hours across all booking platforms, ensuring you never miss out on savings!
No upcoming dates are currently available.
Booking this class for a group? Find great private group events
Or see all Professional Group Events
Explore group events and team building activities ranging from cooking, art, escape rooms, trivia, and more.
5 Hour onsite training
Subscription: 1 Month Online Support
Start your data science training to become a data scientist.
Learn to make smarter business decisions using Data Science!
Are you looking to make a career switch or earn a higher salary, using one of the most desirable skills?
If your answer is YES, then this class is for you. Data Scientists are in HIGH DEMAND in today’s job market, and that demand will only continue to soar. IBM predicts that demand for data scientists will increase by 28% in 2020, and it isn’t stopping there.
Data science skills are amongst some of the most desirable skills to employers because companies of every industry, whether it be healthcare, finance and insurance, retail, hospitality, IT, etc., use data science for all sorts of business solutions.
This course is very individualized, with a maximum of 3 students per class. If you’re lucky enough to be the only student in that session, then you just scored yourself a private, one-on-one Intro to Data Science Lesson!
Who This Class is For:
Everyone! Non-programmers, beginners, working/business professionals, and entrepreneurs looking to get acquainted with Data Science using Python to boost their careers. Regardless of your background, whether you work in finance, insurance, journalism, healthcare, IT, or any other industry, you can greatly benefit from this class. This is your personalized Python programming tutor!
What You’ll Learn:
You will learn the basic and fundamental concepts of data science using the Python programming language. You will learn how data science can be used in real-world situations and applications. You will also be guided towards how you can master data science.
Topics Covered:
No previous experience required.
What to Bring:
Laptop with minimum 8GB ram and Chrome installed on it.
At the end of this course, you’ll have code to add to your Github account.
If you enroll for a course that is scheduled to begin in under 7 days, you must request cancellation via email within the first 24 hours after enrollment in order to receive a full refund - less $50 processing fee.
People who viewed this class also viewed the following classes
Python for Data Science Bootcamp
$1,495 for 5 sessions
Data Science Certificate
$3,995 for 18 sessions
Excel for Data Analytics
$595 for 3 sessions
EBS Corp aims to empower executive-level, business, and working professionals with our technical skills development programs. Our programs focus on Data Science, Machine Learning, Artificial Intelligence, Blockchain, SQL, and Python. We offer tech mentorship, career consultation, web development, bootcamps,...
A verified NYC educator.
Save up to $20. From cooking to coding, find something you’ll love learning.
Get special date and rate options for your group. Submit the form below and we'll get back to you within 2 business hours with pricing and availability.
