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Learn Python – Data Analysis From Beginner To Advanced

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Learn Python – Data Analysis From Beginner To Advanced, available at $19.99, has an average rating of 4, with 51 lectures, based on 35 reviews, and has 137 subscribers.

You will learn about Be equipped with the powerful Python language to start an amazing data analysis career Be ready to work in Finance and Pharmaceutical industries that requires Python programming skills Master how to import and merge data, clean your data, and use conditional logic Be able to create charts and plots for data (visualization) Learn how to generate statistics such as mean value, median value, and standard deviation This course is ideal for individuals who are Students who wants to work in the finance industry. or Beginners who have never used Python before. or Analysts switching software package to Python. or Intermediate Python programmers who want to level up their skills! It is particularly useful for Students who wants to work in the finance industry. or Beginners who have never used Python before. or Analysts switching software package to Python. or Intermediate Python programmers who want to level up their skills!.

Enroll now: Learn Python – Data Analysis From Beginner To Advanced

Summary

Title: Learn Python – Data Analysis From Beginner To Advanced

Price: $19.99

Average Rating: 4

Number of Lectures: 51

Number of Published Lectures: 50

Number of Curriculum Items: 51

Number of Published Curriculum Objects: 50

Original Price: $149.99

Quality Status: approved

Status: Live

What You Will Learn

  • Be equipped with the powerful Python language to start an amazing data analysis career
  • Be ready to work in Finance and Pharmaceutical industries that requires Python programming skills
  • Master how to import and merge data, clean your data, and use conditional logic
  • Be able to create charts and plots for data (visualization)
  • Learn how to generate statistics such as mean value, median value, and standard deviation

Who Should Attend

  • Students who wants to work in the finance industry.
  • Beginners who have never used Python before.
  • Analysts switching software package to Python.
  • Intermediate Python programmers who want to level up their skills!

Target Audiences

  • Students who wants to work in the finance industry.
  • Beginners who have never used Python before.
  • Analysts switching software package to Python.
  • Intermediate Python programmers who want to level up their skills!

Python Data Analysis all in One Package

This Python Programming course combines 3 different courses.

Python Programming 101 – An Introduction to Python

Python Programming 102 – Intermediate Level Python: Data Manipulation

Python Programming 103 – Advanced Level Python: Advanced Analysis

Master Python Programming – Automated Data Analysis

Taught by HSBC Global Wealth & Insurance Analyst.

Material recorded in most updated Python 3!

Enroll now to go through a deep dive of the most popular statistical analysis toolin the market, Pandas.  You can get a Python Data Analysis Certification.

Multiple real-work projects will help you practice what you learn in the course!

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Students Love This Course

This course is taught by an HSBC Wealth & Insurance Analyst  on Python Data Analysisand will equip you with skills to become an senior Data Analyst.

This is the most comprehensive, yet straightforward, course for Python Data Analysis on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! We will teach you the Python syntax and practice your skills in real-world case studies!

==> Become a Data scientist!

==> Make astonishing graphics!

Course Curriculum

Chapter 1: Prepare Environment

Lecture 1: Introduction

Lecture 2: Download & Install Anaconda

Lecture 3: Learning Environment

Lecture 4: Download Course Materials

Lecture 5: Handout – Course Materials

Chapter 2: Import & Export Data

Lecture 1: Find Path of Data Files

Lecture 2: Import CSV

Lecture 3: Import Excel

Lecture 4: Export to CSV

Lecture 5: Export to Excel

Chapter 3: Indexing & Selection Data

Lecture 1: Datatypes

Lecture 2: Print Data

Lecture 3: Select Columns

Lecture 4: Select Rows

Lecture 5: Select First / Last N Rows

Lecture 6: Select Columns & Rows (Part 1)

Lecture 7: Select Columns & Rows (Part 2)

Lecture 8: Set New Index – NEW LECTURE

Lecture 9: Reset To Default Index – NEW LECTURE

Chapter 4: Data Manipulation

Lecture 1: Modify Data – Selection vs. Copy

Lecture 2: Modify Data – Change a Selection

Lecture 3: Modify Data – Change a Copy

Lecture 4: Concatenate Dataframes

Chapter 5: Pivot Table / Reshape Data – NEW SECTION

Lecture 1: Pivot Dataframe – NEW LECTURE

Lecture 2: Reshape Data With Metrics – PIVOT_TABLE function – NEW LECTURE

Lecture 3: Dummy Variables – NEW LECTURE

Chapter 6: Visualization

Lecture 1: Scatter Plot (Basics)

Lecture 2: Scatter Plot (Advanced)

Lecture 3: Series Plot (Part1)

Lecture 4: Series Plot (Part 2)

Lecture 5: Bar plot (Vertical & Horizontal)

Lecture 6: Save Plots to File

Chapter 7: String Functions

Lecture 1: Introduction

Lecture 2: General Functions – UPPER, LOWER, and LENGTH

Lecture 3: SPLIT Function – Split Strings

Lecture 4: REPLACE Function – Replace Substrings

Lecture 5: CAT Function – Concatenate a Series Into a String

Lecture 6: STR Functions – Advanced String Indexing

Lecture 7: EXTRACT & EXTRACTALL Function – Find Substrings

Lecture 8: CONTAINS Function – Match Substrings

Chapter 8: Appendix: Learn Python in 30 Minutes

Lecture 1: Hello World!

Lecture 2: Variables in Python

Lecture 3: String Variable and Functions

Lecture 4: List Variable and Functions

Lecture 5: Set and Its Functions

Lecture 6: Dictionary and Its Functions

Lecture 7: If-Else Logic

Lecture 8: Python Indentation

Lecture 9: For Loops

Lecture 10: Functions

Instructors

  • Alan Y
    Alan Y
    Data Analytics / BI Reporting

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 2 votes
  • 3 stars: 4 votes
  • 4 stars: 13 votes
  • 5 stars: 16 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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