Udemy
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
Development
Web Development Data Science Mobile Development Programming Languages Game Development Database Design & Development Software Testing Software Engineering Development Tools No-Code Development
Business
Entrepreneurship Communications Management Sales Business Strategy Operations Project Management Business Law Business Analytics & Intelligence Human Resources Industry E-Commerce Media Real Estate Other Business
Finance & Accounting
Accounting & Bookkeeping Compliance Cryptocurrency & Blockchain Economics Finance Finance Cert & Exam Prep Financial Modeling & Analysis Investing & Trading Money Management Tools Taxes Other Finance & Accounting
IT & Software
IT Certification Network & Security Hardware Operating Systems Other IT & Software
Office Productivity
Microsoft Apple Google SAP Oracle Other Office Productivity
Personal Development
Personal Transformation Personal Productivity Leadership Career Development Parenting & Relationships Happiness Esoteric Practices Religion & Spirituality Personal Brand Building Creativity Influence Self Esteem & Confidence Stress Management Memory & Study Skills Motivation Other Personal Development
Design
Web Design Graphic Design & Illustration Design Tools User Experience Design Game Design Design Thinking 3D & Animation Fashion Design Architectural Design Interior Design Other Design
Marketing
Digital Marketing Search Engine Optimization Social Media Marketing Branding Marketing Fundamentals Marketing Analytics & Automation Public Relations Advertising Video & Mobile Marketing Content Marketing Growth Hacking Affiliate Marketing Product Marketing Other Marketing
Lifestyle
Arts & Crafts Beauty & Makeup Esoteric Practices Food & Beverage Gaming Home Improvement Pet Care & Training Travel Other Lifestyle
Photography & Video
Digital Photography Photography Portrait Photography Photography Tools Commercial Photography Video Design Other Photography & Video
Health & Fitness
Fitness General Health Sports Nutrition Yoga Mental Health Dieting Self Defense Safety & First Aid Dance Meditation Other Health & Fitness
Music
Instruments Music Production Music Fundamentals Vocal Music Techniques Music Software Other Music
Teaching & Academics
Engineering Humanities Math Science Online Education Social Science Language Teacher Training Test Prep Other Teaching & Academics
AWS Certification Microsoft Certification AWS Certified Solutions Architect - Associate AWS Certified Cloud Practitioner CompTIA A+ Cisco CCNA Amazon AWS CompTIA Security+ AWS Certified Developer - Associate
Graphic Design Photoshop Adobe Illustrator Drawing Digital Painting InDesign Character Design Canva Figure Drawing
Life Coach Training Neuro-Linguistic Programming Personal Development Mindfulness Meditation Personal Transformation Life Purpose Emotional Intelligence Neuroscience
Web Development JavaScript React CSS Angular PHP WordPress Node.Js Python
Google Flutter Android Development iOS Development Swift React Native Dart Programming Language Mobile Development SwiftUI Kotlin
Digital Marketing Google Ads (Adwords) Social Media Marketing Marketing Strategy Google Ads (AdWords) Certification Internet Marketing YouTube Marketing Email Marketing Google Analytics
SQL Microsoft Power BI Tableau Business Analysis Business Intelligence MySQL Data Modeling Data Analysis Data Science
Business Fundamentals Entrepreneurship Fundamentals Business Strategy Online Business Business Plan Startup Freelancing Blogging Home Business
Unity Game Development Fundamentals Unreal Engine C# 3D Game Development C++ 2D Game Development Unreal Engine Blueprints Blender
30-Day Money-Back Guarantee
Development Data Science Python

Beginner's Guide to Python Data Analysis & Visualization

Get started on data science with pandas and numpy from scratch in Python 3. Learn thoroughly, with breeze.
Rating: 4.2 out of 54.2 (250 ratings)
3,419 students
Created by Alan H Yue, Rake Smith
Last updated 11/2018
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Experienced with N-dimensional array, Series, and DataFrame
  • Perform data analysis with Python 3
  • Be very confident when using Pandas and Numpy
  • Gain extensive knowledge of how pandas works

Course content

8 sections • 51 lectures • 4h 1m total length

  • Preview02:54
  • Install Anaconda
    04:44
  • Prepare the datasets
    00:21
  • Preview04:19

  • Python Introduction
    03:21
  • Master variables: number, string, and boolean
    07:34
  • Master Strings
    08:44
  • Master Lists
    11:07
  • Master Dictionaries
    10:49
  • Master Sets
    01:27
  • Indentation
    02:23
  • Loops
    04:14
  • If-Else Condition
    03:27
  • Preview06:30

  • Import Numpy
    04:48
  • Create Array
    11:37
  • Print Array
    04:58
  • Array Operations
    02:55
  • Indexing, Slicing, and Iterating
    09:56
  • Generate Statistics
    04:56

  • Preview04:00
  • Series Operation
    02:31
  • Preview04:29
  • Preview05:41
  • Handouts for Pandas Series
    00:33

  • Preview02:43
  • Export Data (Excel, CSV)
    03:38
  • Array Transformation
    05:10
  • Select by Column
    03:28
  • Select by Row
    02:19
  • Preview03:07
  • Select by Condition
    02:19
  • Exercise: Dataframe Selection
    01:51
  • Solution: Dataframe Selection
    07:39
  • Handouts for Pandas Dataframe Import and Selection
    13:34

  • Backup Data
    01:44
  • Re-name and Re-arrange Columns
    05:16
  • Changing and Restore Index
    05:33
  • Delete Columns/Rows
    04:26
  • Insert Columns/Rows
    05:07
  • Section Quiz
    3 questions
  • Handouts for Pandas dataframe manipulation
    05:16

  • Preview04:03
  • Series Plot and Bar Plot
    07:19
  • Preview01:18
  • Data Distribution: Histogram and Box Plot
    05:36
  • Data Concentration: Scatter Plot and Heat Map
    05:02
  • Data Composition: Pie Plot and Area Plot
    03:40
  • Handouts for Data Visualization
    01:30
  • Section Quiz
    3 questions
  • Handouts for Numpy
    04:24

  • Linear Regression - Part 1
    04:18
  • Linear Regression - Part 2
    02:43

Requirements

  • Follow a step-by-step guide to download and install software.
  • Basic knowledge about Python is an asset but not required.
  • Curiosity, courage, and faith.

Description

==> Become a Data scientist!

==> Make astonishing graphics!

This is the most comprehensive, yet straightforward, course for learning Python data science on Udemy! Whether you have never touched data science before, need a refresh on Pandas basics, or want to learn about the advanced features of Pandas, THIS COURSE IS FOR YOU!

If you never touched Python before, there is a Python crush section to get you started in 30 minutes! If you knew Python, use it to brush up your knowledge!

There are a lot of highlight points in this course. Paricularly, you will learn HOW TO:

  • Perform Linear Regression Analysis
  • Understand Linear Regression Analysis result
  • Pandas series creation, selection, and other operations.
  • Import CSV data
  • Import Excel data
  • Transform your array
  • Select part of your data by column, row, or even condition!
  • Rename your columns
  • Change your index
  • Delete columns
  • Insert columns
  • Make pie plots, scatter plots, series plots, heat-maps, and histograms!
  • Numpy arrays
  • Perform array indexing, slicing, and iterating.
  • Generate descriptive statistics.

-----------------------------------------------------------------------------------------------------

In addition to the Udemy 30-day money back gurantee, you have my personal gurantee that you will love what you learn in this course. If you ever have any questions, please don't hesitate to post it in the course discussion board or message us directly. We will do our best to get back to you as soon as possible!

Jobs in data analysis, especially financial analysis, are pletiful. And because of the imense extensibility, python is growing to be the most popular data science tool! Pandas is the solely most important library you should know to perform analysis! This course will walk you through the very origin or Pandas and show you step-by-step, how Pandas is designed and used! Being able to use Pandas will give you strong background to dive depper into data analysis faithfully!

Is it too much to spend a few hours to add a critical skill on your resume? So what are you waiting for? Learn Pandas in a way that will advance your career and increase your knowledge!

What are you waiting for? This course won't stay at this price forever, click "Take this course" now and embark your amazing journal today!

See you in the course!

-- Alan Yue

Who this course is for:

  • Anyone interested in data science
  • Anyone interested in learning python, pandas, numpy
  • Anyone curious about this world, about all the information flowing around us.

Instructors

Alan H Yue
Wealth & Insurance Analyst at HSBC,
Alan H Yue
  • 4.0 Instructor Rating
  • 1,076 Reviews
  • 12,679 Students
  • 7 Courses

Alan is a professional Wealth & Insurance Analyst at HSBC Bank for 2 years. He is a SAS and Python master. He writes in SAS and Python in his everyday data analysis works.

Before that, he worked at Reitmans Canada, Ltd. as a Pricing Analyst.

He enjoys discovering the insights with data analysis. He first studied Marketing as his Bachelor's degree, then turned to pursue his master degree in Finance in Montreal.

With his courses, Alan wants to make data analysis skills available for every millennial to learn -  without the struggles and frustrations.

On Udemy, over 6000+ students around the globe are learning SAS & Python data analysis skills from Alan.

Rake Smith
Udemy Instructor
Rake Smith
  • 4.2 Instructor Rating
  • 251 Reviews
  • 3,419 Students
  • 1 Course

Rake has been working as a data analyst for more than 7 years. He has profound knowledge in Creadit Analysis, Portfolio Investment, and Risk Management. Rake believes in the power of data and that the full potential of data is interpreted through proper analysis, his interests are focusing on the impact of big data and data mining on the financial sector.

  • Udemy for Business
  • Teach on Udemy
  • Get the app
  • About us
  • Contact us
  • Careers
  • Blog
  • Help and Support
  • Affiliate
  • Impressum Kontakt
  • Terms
  • Privacy policy
  • Cookie settings
  • Sitemap
  • Featured courses
Udemy
© 2021 Udemy, Inc.