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.
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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.
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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.
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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.
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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.
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With all of the attention on machine learning, many are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Therefore, this course attempts to demystify the key concepts that drive machine learning. No experience in Machine Learning is needed.
Machine learning – as well as deep learning, natural language processing and cognitive computing is defined as a subset of artificial intelligence that, when given data, a machine can learn/apply it. Such technological feats are driving innovations in identifying images, personalizing marketing campaigns, genomics, and navigating the self-driving car.
What you should know before taking this course
Intro-level algebra. You should be comfortable with variables and coefficients, linear equations, graphs of functions, and histograms. (Familiarity with more advanced math concepts such as logarithms and derivatives is helpful, but not required.)
Proficiency in programming basics, and some experience coding in Python. Programming exercises in Machine Learning Crash Course are coded in Python using TensorFlow. No prior experience with TensorFlow is required, but you should feel comfortable reading and writing Python code that contains basic programming constructs, such as function definitions/invocations, lists and dicts, loops, and conditional expressions.
To reschedule or cancel, email us at [email protected]
All courses include a non-refundable registration fee (10% of the undiscounted course price).
Note: Any refunds must be requested within 180 days from the original payment date; courses rescheduled within 11 business days of the start date are not eligible for refunds.
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Python for Data Science Bootcamp
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Practical Programming offers programming classes and workshops for individuals of all skill levels who are interested in learning Python coding. It is suitable for beginners and those looking to start a career in programming or build dynamic web applications using Python.
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