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Data Science w/ Python Pandas 101

at Practical Programming - Midtown

Course Details
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Midtown, Manhattan
185 Madison Ave 3rd Fl
34th & Madison
New York, New York 10016
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Class Level: All levels
Age Requirements: 18 and older
Average Class Size: 19

Flexible Reschedule Policy: This provider has flexible, free rescheduling for any-in person workshop. Please see the cancellation policy for more details

What you'll learn in this data science course:

The main idea of this workshop is to learn how to apply Python libraries Pandas and Matplotlib for real-life tasks.

With this course, you will learn about the tools you need to successfully collect, analyze data and manipulate Data. You will learn all fundamentals to start using Python for Data Science. You will explore the various techniques used in solving complex problems commonly faced in data analysis with Python.

Also, we will cover how to use Python Data Analysis libraries and tools, including Matplotlib, NumPy, and Pandas to solve real-world business and financial problems.

Who should attend: 

Anyone who would like to learn how to Python for Data analysis from scratch, who is thinking about a new career in the Data Science field or would like to boost a career with new skills

You will learn:
  • Python Libraries: Pandas and Matplotlib
  • Data structures - Series, DataFrames, Panal
  • Building DataFrames from scratch
  • Rearranging and reshaping data 
  • Manipulating DataFrames with Pandas
  • Importing Data and storing Data in Python
  • Create powerful visualizations with Matplotlib
Prerequisites & Preparation:
Anaconda data science platform

Still have questions? Ask the community.

Refund Policy
If you withdraw two days before the course start date, any deposit paid will be refunded in full. 

No refunds will be given for cancellations made after that date. If you cannot attend our class or workshop, for which you were charged, you will receive 25% discount for any other course.


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Reviews of Classes at Practical Programming (378)

(378 Reviews)
Data Science w/ Python Pandas 101
Reviewed by Hee Do P. on 10/16/2018
Great class! You really learn something that is hard to learn online.
Data Science w/ Python Pandas 101
Reviewed by Jes Kuruvilla on 5/1/2018
Caveats: 1) I was novice to Python for Data Science with an elemental understanding of Python Programming. Art : Took us quickly thorough a basics course in basic Python 3 programming. This is best place to start today at 3.6 and above: trust me on this one. Syntax is evolving constantly. Next to Numpy and Pandas based data structures Good sessions, interactive and carefully building on concepts , that are helpful to reiterate the basics. Create a datastructure from real life data gathered.. Next to Matplotlib to visualize a story and pictorially depict it. Finally a project to tell a story from current data. Great place to get an intro and feet wet into Data Science. Next step.. find a project to help out on and keep learning! cheers Jes Kuruvilla, PhD
Data Science w/ Python Pandas 101
Reviewed by Kalle Moen on 4/5/2018
I was looking for a data science class I could take while having a full-time job. This course was great because all the classes happened on the weekends. I knew a basic python already, so picking up the concepts was easy. Art is a patient teacher that's happy to help you out with homework before class if you're stuck on a problem. I would definitely recommend it if you're looking to kickstart your learning of Numpy, Pandas, and Matplotlib.
Data Science w/ Python Pandas 101
Reviewed by Anonymous on 8/21/2017
Fast paced and to the point. Good hands on intro into Pandas library
Data Science w/ Python Pandas 101
Reviewed by Anonymous on 7/27/2017
Having the lessons be in Jupyter Notebooks was great. I would have liked the auxilliary materials to be put somewhere I can get at them, too (he showed some slides) The biggest problem is that getting Jupyter running on your laptop requires some mysterious commands for me because i am not used to working with a terminal. A handout about how to get it running and how to trouble-shoot it when it doesn't run would have been much appreciated.

School: Practical Programming

Practical Programming

Practical programming classes and workshops for everyone who wants to learn how to code from scratch or practice Python. You will learn how to start using Python, problem solving with algorithms and make dynamic web applications.

No coding experience needed, anyone who would like to learn how to code...

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