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Python Training Classes

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Course type: Online Instructor led Course

Platform: Skype, Teamviewer,

Course ID: 45297

Course type: Online Instructor led Course

Platform: Skype, Teamviewer,

Students Interested 0 (Seats Left 0)

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About the Course

The Data Science: An Overview

  • Introduction to the Data Science

  • Different Sectors Using Data Science

  • The Purpose and Components of Python

2. Data Analytics Overview

  • The Data Analytics Process

  • Exploratory the Data Analysis (EDA)

  • EDA-Quantitative Technique

  • EDA - Graphical Technique

  • The Data Analytics Conclusion or Predictions

  • The Data Analytics Communication

  • The Data Types for Plotting

3. Statistical Analysis and Business Applications

  • Introduction to the Statistics

  • About Statistical and Non-statistical Analysis

  • The Major Categories of Statistics

  • About the Statistical Analysis Considerations

  • The Population and Sample

  • What is the Statistical Analysis Process?

  • The Data Distribution

  • Dispersion

4. Python Environment Setup and Essentials

  • About the Anaconda

  • The Installation of Anaconda Python Distribution

  • Data Types in the Python

  • Basic Operators and Functions

5. What is Mathematical Computing with Python (NumPy)?

  • An Introduction to the Numpy

  • The Activity-Sequence it Right

  • Class and Attributes of ndarray

  • All About the Basic Operations

  • Activity-Slice It

  • Copy and Views

  • About the Mathematical Functions of Numpy

6. The Scientific computing with Python (Scipy)

  • Introduction to the SciPy

  • About the SciPy Sub Package - Integration and Optimization

  • What is SciPy sub package?

  • Know About the SciPy Sub Package - Statistics, Weave and IO

7. The Data Manipulation with Pandas

  • Introduction to the Pandas

  • Understanding DataFrame

  • The Missing Values

  • The Data Operations

  • About File Read and the Write Support

  • What is Pandas Sql Operation?

8 . The Natural Language Processing with Scikit Learn

  • NLP: An Overview

  • What are NLP Applications?

  • About NLP Libraries-Scikit

  • The Extraction Considerations

  • The Scikit Learn-Model Training and Grid Search

9. The Data Visualization in Python using matplotlib

  • Introduction to the Data Visualization

  • What are Line Properties?  

  • (x,y) Plot and Subplots

  • The Types of Plots

10. Web Scraping with BeautifulSoup

  • Web Scraping and Parsing

  • Understanding and Searching the Tree

  • Know the Navigating options

  • Know About Modifying the Tree

  • How to Parse and Print the Document?

11. Python integration with Hadoop MapReduce and Spark

  • Know Why Big Data Solutions are provided for Python?

  • Describing Hadoop Core Components

  • The Python Integration with HDFS using Hadoop Streaming

  • The Python Integration with Spark using PySpark

Date and Time

Not decided yet.

About the Trainer

4.67 Avg Rating

6 Reviews

8 Students

9 Courses

Having 15+ years of Experience in Big Data Hadoop.
Times internet: - Implemented Apcahe Spark with Cassandra on at Hadoop RAC server for collecting Multiple log files.
Amar Ujala: - For Hadoop cluster planning and sizing with data migration from Sql server to Cassandra.
TCS: - 3 corporate batches for Hadoop admin and Data warehousing Cassandra Mongodb (Cloudera, Hortonworks).
HCL info System: - Hadoop Cluster implementing and migration from DB2.
HCL Technologies: - Hadoop, Spark-Scala, FlumeCassandra Nosql.


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