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Learn Python - Data Analysis From Beginner To Advanced

Name: Learn Python - Data Analysis From Beginner To Advanced
Rating: 4.4 (38 reviews)

Learn Python Data Analysis with this A-Z Programming Course. Python Programming, Pandas Reporting, Data Science.

Created byAlan Ye

Last updated 12/2021

English

What you'll 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

Course content

8 sections • 50 lectures • 4h 52m total length

Introduction3:32
Download & Install Anaconda4:44
Learning Environment9:47
Download Course Materials4:12
Handout - Course Materials0:06

Datatypes6:35
Print Data4:26
Learn how to print data frames in Python using two methods: notebook display and the built-in print function, with pandas, across Jupyter and console environments.
Select Columns8:22
Select Rows3:48
Learn to select rows in a pandas data frame using iloc, choosing single indices or lists of indices, handle row vs series results, and observe effects of duplicate indices.
Select First / Last N Rows2:25
Select Columns & Rows (Part 1)4:35
Select Columns & Rows (Part 2)6:06
Set New Index - NEW LECTURE6:43
Reset To Default Index - NEW LECTURE3:48

Pivot Dataframe - NEW LECTURE7:53
Reshape Data With Metrics - PIVOT_TABLE function - NEW LECTURE8:58
Learn to reshape data with pivot table and pivot in pandas, handle duplicated indices, and apply aggregation metrics like sum, mean, standard deviation, and count.
Dummy Variables - NEW LECTURE8:47
Learn how to convert categorical data into dummy variables using one-hot encoding in pandas, via get_dummies, and attach the results for machine learning pipelines.

Scatter Plot (Basics)8:09
Scatter Plot (Advanced)3:41
Series Plot (Part1)5:59
Series Plot (Part 2)4:16
Learn to plot multiple series on one chart from a thousand by four random data frame with A, B, C, D, and compute cumulative sums.
Bar plot (Vertical & Horizontal)6:01
Learn to create bar plots in Python, counting country frequencies with value_counts and rendering vertical or horizontal bars, including sorting order and a title such as 'Customer nationality'.
Save Plots to File5:06

Introduction5:26
General Functions - UPPER, LOWER, and LENGTH5:42
Discover how to clean and standardize names in a data frame using string methods: convert to uppercase or lowercase, measure length, and strip extra blanks for accurate counts.
SPLIT Function - Split Strings8:16
REPLACE Function - Replace Substrings5:32
CAT Function - Concatenate a Series Into a String6:32
STR Functions - Advanced String Indexing6:05
EXTRACT & EXTRACTALL Function - Find Substrings10:43
CONTAINS Function - Match Substrings6:24

Requirements

Access to a computer, it can be one in the school's lab or your PC/Mac.
Basic knowledge of surfing the internet, navigating through folders.

Description

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 tool in 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 Analysis and 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!

Who this course is for:

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!

Learn Python - Data Analysis From Beginner To Advanced

What you'll learn

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Course content

Prepare Environment5 lectures • 22min

Import & Export Data5 lectures • 25min

Indexing & Selection Data9 lectures • 47min

Data Manipulation4 lectures • 25min

Pivot Table / Reshape Data - NEW SECTION3 lectures • 26min

Visualization6 lectures • 33min

String Functions8 lectures • 55min

Appendix: Learn Python in 30 Minutes10 lectures • 1hr

Requirements

Description

Who this course is for: