Learning Objective: To understand why Python is a useful scripting language for developers. To learn how to design and program Python applications.

Introduction

• What is Python..?
• A Brief history of Python
• Why Should I learn Python..?
• Installing Python
• How to execute Python program
• Write your first program

Variables & Data Types

• Variables
• Numbers
• String
• Lists, Tuples & Dictionary

Conditional Statements & Loops

• If…statement
• If…else statement
• elif…statement
• The while…Loop
• The for….Loop

Control Statements

• Continue statement
• Break statement
• Pass statement

Functions

• Define function
• Calling a function
• Function arguments
• Built-in functions

Modules & Packages

• Modules
• How to import a module…?
• Packages
• How to create packages
• Classes & Objects

Introduction about classes & objects

• Creating a class & object
• Inheritance
• Methods Overriding
• Data hiding

Files & Exception Handling

• Writing data to a file
• Reading data from a file
• Read and Write data from CSV file
• Try…except
• Try…except…else
• Finally
• OS module

Learning Objective: Demonstrate knowledge of statistical data analysis techniques utilized in decision making. Apply principles of Data Science to the analysis of problems. Be able to restate an investigative question in terms of a statistical model or algorithm.

Inferential statistics

• Standard error
• Confidence interval
• Hypothesis testing
• p-value

Sample vs. population mean

• Variance of population

Probability and statistics

• Probability density functions
• Poisson Process
• Law of large numbers
• Normal distribution
• Sampling distribution
• Mean
• Variance of Bernoulli
• Regression

Hadoop is an open-source framework that allows us to store and process large volumes of data in a distributed environment across clusters of computers using simple programming models. It is designed for scaling up from a single machine/node to thousands of machines, every node offering local computation and storage. This brief tutorial provides a summarized introduction to Big Data, Hadoop, MapReduce algorithm, and Hadoop Distributed File System.

The Big Data Hadoop Training Course is curated by Big data Hadoop industry experts, and it will provide in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Sqoop ,Pig, HBase, Oozie, Flume as well as Apache Spark. At the end , you will be working on a Hadoop project in which you will be working with real time use cases.

According to the latest research, nearly 2.5 quintillion bytes of data are created every day, and the number is slowly edging upwards. The storage and processing power needed to handle these large volumes of data cannot be handled in an efficient manner with traditional frameworks and platforms. Hadoop by Apache provides the much-needed power that is required to manage such situations to handle Big Data.

Prwatech basically offers the self-paced training and online instructor-led training. Apart from it we even provide corporate training for enterprises. All our trainers come with over 5 years of industry experience in relevant technologies and moreover they are subject matter experts working as consultants. You can check about the quality of our trainers in the sample videos provided.