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Data Science w/ Python Pandas 101

  • All levels
  • 18 and older
  • $99
  • 185 Madison Ave, New York, NY
  • 3 hours

Start Dates (0)

  • $99
  • PP @ 185 Madison Ave @ 185 Madison Ave 3rd Fl, New York, NY 10016
  • 3 hours
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Class Description

Description

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:
Laptop
Anaconda data science platform

Refund Policy

To reschedule or cancel, email us at [email protected]

All courses include a non-refundable registration fee (10% of the undiscounted course price).

  • Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee.
  • Cancellations within 11 business days are not permitted; however, students may reschedule up to 4 business days before the class start date.

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.

Reviews of Classes at Practical Programming (378)

(4.5-star rating across 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

    Anonymous review on 8/21/2017
    Fast paced and to the point. Good hands on intro into Pandas library
  • Data Science w/ Python Pandas 101

    Anonymous review 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.
  • Data Science w/ Python Pandas 101

    Anonymous review on 7/5/2017
    The instructor seemed like a nice person. However, the course was very ineffectively designed and run. I couldn't follow the instruction because I was trying to copy the codes from the board the entire time. We also did not get any practice time or activity to check our learning. I regret to say it but I did not learn much, if at all, from this workshop.
  • Data Science w/ Python Pandas 101

    Reviewed by Mark W. on 6/30/2017
    Great class!
  • Data Science w/ Python Pandas 101

    Anonymous review on 5/24/2017
    I learned more in two sessions than I did in two weeks' worth of reading and watching videos, and was able to apply it fairly quickly. I'd recommend this class to anyone looking to just get their feet wet in the data sciences.
  • Data Science w/ Python Pandas 101

    Reviewed by Ana on 5/20/2017
    Very helpful and interesting class, very well organized. Great teacher with very clear instructing skills.
  • Data Science w/ Python Pandas 101

    Reviewed by Shoshana B. on 5/8/2017
    Art from programming with us answered all questions. Covered the most common operations for analyzing and visualizing the fluctuations of the stock market.
  • Data Science w/ Python Pandas 101

    Reviewed by Natalie K. on 1/16/2019
  • Data Science w/ Python Pandas 101

    Anonymous review on 8/31/2017
  • Data Science w/ Python Pandas 101

    Reviewed by Jose C. on 8/1/2017
  • Data Science w/ Python Pandas 101

    Reviewed by Arti P. on 7/23/2017
  • Data Science w/ Python Pandas 101

    Anonymous review on 7/23/2017
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Review Summary by CourseHorse

Students of the Data Science w/ Python Pandas 101 class have generally positive feedback about their experience. They appreciate the interactive and carefully built-up concepts that help reinforce the basics of Python programming. The course covers the basics of Python 3 programming and then moves on to Numpy and Pandas-based data structures, as well as the use of Matplotlib for data visualization. Students are encouraged to create data structures from real-life data and complete a project that tells a story using current data. One student mentioned that the course was convenient for those with a full-time job as it took place on weekends. They also praised the instructor's patience and willingness to assist with homework. Another student highlighted that the class was fast-paced and provided a hands-on introduction to the Pandas library. Overall, the majority of students found the class to be informative and useful for beginners in data science. They appreciated the clear instructions and the opportunity to apply their newfound skills. Direct quotes: - "I learned more in two sessions than I did in two weeks' worth of reading and watching videos." - "Great teacher with very clear instructing skills. Covered the most common operations for analyzing and visualizing the fluctuations of the stock market." - "This course was great because all the classes happened on the weekends. I knew basic Python already, so picking up the concepts was easy."

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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.

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We are located in New York City on 34th street and Madison Avenue, a few blocks from Penn Station, Port Authority and Times Square. You may also attend this class live online (virtual training) via Zoom. We will reach out with additional information, including the Zoom info and class files.

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