Python data analysis from getting started to mastering video tutorial instructional Videos

Course Description:

Python data analysis from getting started to mastering video tutorial instructional Videos

----------------------Course Catalogue------------------------------

Python Data Analysis Chapter
The first part. Python Basics Lesson One: Overview of Python--python basic introduction, installation and basic syntax, variable types and operators
Lesson Two: Understanding Python Process Control-conditions, looping statements, and other statements
Lesson three: Common functions--definition and usage of functions, introduction of main built-in functions
Lesson Four: NumPy Foundation--Creation, combination and segmentation of arrays

Part II Preparation of data analysis lesson Five: Understanding Data-data loading, storage and file formats; outlier cleanup and missing value handling
Lesson Six: Data Cleansing and preliminary analysis--data cleansing, transformation, merging and remodeling, data summarization and descriptive statistics;
Lesson seventh: Drawing and visualization-basic drawing commands and graphs overview, graphical element settings and examples: Visualization of seismic crisis data
Lesson Eighth: Data Aggregation and packet processing-data aggregation, grouping operations and transformations, pivot tables and cross-tables

The third part of data analysis The Nineth lesson: Hypothesis Test--common hypothesis test and case analysis
The tenth lesson: linear regression--linear regression model, analysis result presentation and interpretation; Example: Commodity price forecast
11th Lesson: Logistic regression--logistic regression model explained; Example: Analysis of telecom customer churn
The 12th Lesson: Time Series Analysis--time Series basic processing, time series model construction and result interpretation; Example: Future stock price forecast

Part IV in-depth data analysis The 13th lesson: Classification algorithm--KNN, decision tree, Bayesian classifier and other algorithms introduced; Example: Web page Registration User forecast
14th: Clustering algorithm--k-means algorithm introduction; Example: Cluster analysis of communication base station
15th Lesson: dimensionality Reduction Method--principal component analysis and factor analysis algorithm introduction; Example: regional economic indicators score

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Python data analysis from getting started to mastering video tutorial instructional Videos