Data Analysis with Python and Pandas

Gain a skillset in Python that can be used for various other applications
  • Self-Paced Learning

    Learning Style
  • Intermediate

    Difficulty
  • 6 Hours

    Course Duration
Pricing
About Individual Course:
  • Individual course plan gives you access to this course
New
On Sale!
Now Only $10.00 Regular Price $99.00
Now Only $10.00 Regular Price $99.00
/ Each
Gain a skillset in Python that can be used for various other applications

About this course:

Python programmers are some of the most sought-after employees in the tech world, and Python itself is fast becoming one of the most popular programming languages. One of the best applications of Python however is data analysis; which also happens to be something that employers can't get enough of. Gaining skills in one or the other is a guaranteed way to boost your employability – but put the two together and you'll be unstoppable!

  • Learn efficient python data analysis
  • Manipulate data sets quickly and easily
  • Master python data mining
  • Gain a skillset in Python that can be used for various other applications

This course contains 51 lectures and 6 hours of content, specially created for those with an interest in data analysis, programming, or the Python programming language. Once you have Python installed and are familiar with the language, you'll be all set to go.

The course begins with covering the fundamentals of Pandas (the library of data structures you'll be using) before delving into the most important functions you'll need for data analysis; creating and navigating data frames, indexing, visualizing, and so on. Next, you'll get into the more intricate operations run in conjunction with Pandas including data manipulation, logical categorizing, statistical functions and applications, and more. Missing data, combining data, working with databases, and advanced operations like resampling, correlation, mapping and buffering will also be covered. By the end of this course, you'll have not only have grasped the fundamental concepts of data analysis, but through using Python to analyze and manipulate your data, you'll have gained a highly specific and much in demand skill set that you can put to a variety of practical used for just about any business in the world.

The average salary for Python Developer is $92,000 per year.

Course Objective:

After completing this course, students will have a working understanding of:

  • Introduction to Pandas
  • IO Tools
  • Pandas Operations
  • Handling for Missing Data / Outliers
  • Combining Dataframes
  • Advanced Operations

Audience: 

This course is intended for:

  • Those people that need a deeper understanding of data analysis tools available today.

Prerequisites:

  • Students should be experienced with the basics of Python programming.

Suggested prerequisites courses:

More Information
Lab Access No
Learning Style Self-Paced Learning
Difficulty Intermediate
Course Duration 6 Hours
Language English
VPA Eligible VPA Eligible
Write Your Own Review
Only registered users can write reviews. Please Sign in or create an account
FAQ's

Frequently Asked Questions About Virtual Instructor-Led Courses

I can't connect to my class, what are my options?

The link to the class is available upon logging in to your dashboard. If you are unable to see it, please contact our support team at 1-855-800-8240 and they will be happy to provide you the direct link via email or the dial in number.


I can't make it to attend to class. Can I reschedule?

Yes, you can reschedule your class. Please contact your Sales representative and they will arrange this for you. If you forgot his/her name, feel free to contact our support team at support@quickstart.com or 1-855-800-8240.


Will I get my certificate upon completion?

Yes. Upon completion of the course, it will be available on your course as a Trophy Icon for you to download. If you do not see this, you will need to contact support@quickstart.com with the following details so they can email you the certificate: Class Name, Class Date, Account Rep, and Your Email.


I cannot connect to my lab. Help!

Your Lab is accessible on the bottom part of your course. You will see a button that says "LAB". Just click it to launch the lab. Please note that some classes don’t need/require a LAB. You can verify with our support team by calling them at 1-855-800-8240 or by email at support@quickstart.com. You can also check with your Instructor or the Associate Instructor if your class includes one.


What is my access code for Skillpipe?

A. Not all of the classes have or require Skillpipe. If your class includes one, please check your email as you should have received one from noreply@skillpipe.com. In case you do not find it in your inbox, please check the Spam / Junk folder. For any further assistance, you can call the support at 1-855-800-8240 or contact them via email at support@quickstart.com.


I don't have audio. I can't hear the instructor.

Make sure you are using a compatible headset for your laptop or computer. If you don’t have a headset, you can use the built-in speaker of your laptop. Otherwise, you can use the dial in option by calling the dial in number provided in the class joining email. You may also contact support team for the dial in numbers associated for your training at 1-855-800-8240 or contact them via email at support@quickstart.com.


How can I reach student support?

Support can be reach via phone at 1855-800-8240; via email at support@quickstart.com or via chat support through the chat button on our website. Please note that support office hours will be from 8am-5pm CST Monday to Friday. Any concerns after office hours will be attended the following business day.

Sales Support

Sales (866) 991-3924

Mon-Fri. 8am-6pm CST

Have Questions? Ask Us.

Why QuickStart

Turn Training Into A Personalized Learning Experience


  • Problem Solving through ExpertConnect & Peer-To-Peer Learning
  • Find The Quickest Path To Learn With Career Paths
  • Access All Courses With Master Subscription
  • Manage Your Team With Learning Analytics
  • Virtual Classroom Training & Self-Paced Learning
  • Integrate With Your LMS Through API's

click here