Data Analysis with Python

Learn Data analysis with Python

Data Analysis with Python

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Price ₹0.00

Duration: 2 Months

Course Fee: 11000/-

Lectures: 60

Certificate of Completion

CURRICULUM

Basic Python

Introduction to Python

Python - The Universal Language

Installing Python

Python - *Hello World*

Using the Interpreter

iPython - a better Python interpreter

Types - Dynamic v/s Static Typing - tstrong v/s Weak Typing

Numbers

Strings

Unicode

Complex Types

Operators - Operator Overloading

Variables

Scopping And Expressions

Use of tabs and whitespaces as indent

Conditionals - for...else

The general syntax

Default values for arguments

Returning and receiving multiple values

Variable number of arguments - args, kwargs

Scope revisited

Primitive v/s Composite Types

Lists

Tuples

Maps (or Dictionaries)

Sets

Enums

Looping Techniques

Data Analysis with Python

Installing Anaconda and Jupyter Notebook

Jupyter Notebook overview

Importing data from a csv, text file or another database

Overview of various methods and attributes of Numpy

Array

Creating 1 dimensional arrays

Creating 2 dimensional arrays

Array indexing

Accessing array elements

Concatenating Numpy arrays

Arithmetic operations with arrays

Covariance

Correlation

Linear Regression

Overview of various methods and attributes of Pandas

Introduction

Working with various Series attributes

Introduction

Pivoting

Sorting

Aggregation

Descriptive statistical analysis with Pandas

Introduction to Matplotlib

Various Matplotlib methods

Creating Line, Scatter, Bar, etc. charts

Customising charts using: X and Y labels, Limits, Ticks, Legends

Introduction to Pyplot

Description

Why learn data analysis with Python?

Python has gathered a lot of interest recently as a choice of language for data analysis. data analysis in python is one of the emerging field in the industry Who this course is for: Anyone interested in learning more about python, data science, or data visualizations. Anyone interested can learn data analysis in python!

Here are some reasons which go in favour of learning data analysis with Python:

1) A Profession in Demand Big Data Analytics is considered to be the most wanted expertise by 75 percent Internet of Things (IoT) providers, and over 68 percent of them are struggling to find employees with relevant expertise. The scope of professional opportunities is anticipated to grow in years to come.

2) Awesome online community

3) Very easy to learn

4) Multi-industry/Domain Opportunities With popular brands Software AG, Oracle Corporation, IBM, Microsoft, SAP, EMC, HP and Dell have invested more than $15 billion in software firms specializing in Data Management Analytics, increasing the demand for Information Management specialists across multiple industry and domain-types.

5) New Skill Opportunities With data assurance, finance, sales, marketing, and Business Intelligence (BI) being the most popular work areas for Data Analyst specialists, you’ll have an opportunity to use your skills across multiple industries.

6) Get a Chance to be a Data Scientist Last, but not the least, you have an opportunity to be an all-in-one solution provider who combines the jobs of a Data Analyst and Data Engineer. your solution for the question best institute for data analysis is here. data analysis course near me

By the end of this data analysis course you will:

– Have an understanding of how to program in Python.

– Know how to create and manipulate arrays using numpy and Python.

– Know how to use pandas to create and analyze data sets.

– Know how to use matplotlib and seaborn libraries to create beautiful data visualization.

– Have an amazing portfolio of example python data analysis projects!