DataScience With Python Certification | Kigyan School of Data Science

₹15,000.00 + GST 11,999.00 + GST

Duration:

6 weeks

Lectures:

36Hrs

Reviews:

Categories:

Short - Term

Mode:

Online

Course Feature

36 hours of in-depth learning
Case study Based Training
Industry experts led Online Training
Real-life industry-based projects in the domains of Retail, Healthcare, Telecom, Finance, Stock Market, Human Resource etc.
Dedicated mentoring session from our faculty of industry experts

Overview

Learning Objectives

FAQ

DataScience With Python

Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you will learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping and natural language processing.

Python is a multi-paradigm or versatile programming language that can be considered as a sort of swiss knife for the coding world. This is because it supports structured programming, Object Oriented Programming and even functional programming patterns. The versatility of Python undoubtedly makes it the best-suited programming language for the data scientists. Here are some of the other advantages of python for data science, which will help you understand why you should learn data science with Python:

Python is a powerful open source programming language, which means that it’s free to use while having all the properties that a programming language should have.
It is a versatile programming language that supports Object-Oriented Programming, Structured Programming, and functional programming patterns.
Python has some 72,000 libraries in the Python Package Index that aid in scientific calculations and machine learning applications.
Python sports an easy to understand and readable syntax that ensures that the development time is cut into half when compared with other programming languages.
Python enables you to perform data analysis, data manipulation, and data visualization, which are very important in data science.

All the above-mentioned advantages of Python programming language make it ideal to be used for data science by the data scientists. Owing to the extensibility and general-purpose nature, it is recommended that you learn data science with Python.

Python is a required skill for many data science positions, so jumpstart your career with this interactive, interactive, hands-on course.

DataScience With Python

The Data Science with Python course will furnish you with in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning and natural language processing using Python.

Python has surpassed Java as the top language used to introduce US students to programming and computer science, and 46 percent of data science jobs list Python as a required skill.

What Skills you will Learn

This Python for Data Science training course will enable you to:

Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics
Install the required Python environment and other auxiliary tools and libraries
Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
Perform data analysis and manipulation using data structures and tools provided in the Pandas package
Gain expertise in machine learning using the Scikit-Learn package
Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline
Use the Scikit-Learn package for natural language processing
Use the matplotlib library of Python for data visualization
Extract useful data from websites by performing web scrapping using Python
Integrate Python with Hadoop, Spark and MapReduce

Frequently asked Questions

1. Who should attend this course?

There is a booming demand for skilled data scientists across all industries that make this course suited for participants at all levels of experience. We recommend this Data Science with Python training particularly for the following professionals:

Analytics professionals who want to work with Python
Software professionals looking to get into the field of analytics
IT professionals interested in pursuing a career in analytics
Graduates looking to build a career in analytics and data science
Experienced professionals who would like to harness data science in their fields
Anyone with a genuine interest in the field of data science

2. What type of Jobs we can expect after this training?

Upon completion of the Data Science with Python course, you will have the skills required to help you land your dream job, including:

IT professionals
Data scientists
Data engineers
Data analysts
Project managers
Program managers

3. What are the Pre-requisites for this Training?

There are no prerequisites for learning this course. However, knowledge of any one programming language and SQL will be beneficial

4. Who will provide the certification?

Upon successful completion of the Data Science with Python certification training, you will be awarded the course completion certificate from Kigyan

5. What are my system requirements?

The tools you will need to attend training are:

Windows: Windows XP SP3 or higher
Mac: OSX 10.6 or higher
Intel i3 with minimum 8 GB RAM
Internet speed: Preferably 512 Kbps or higher for online training
Headset, speakers, and microphone: you will need headphones or speakers to hear instructions clearly, as well as a microphone to talk to others. You can use a headset with a built-in microphone, or separate speakers and microphone

6. What are the training modes offered for this course?

We offer this training in the following modes:

Live Classroom training in our Training Centre
Live Virtual Classroom or Online Classroom: Attend the course remotely from your desktop via video conferencing to increase productivity and reduce the time spent away from work or home

7. Any Group Discount offered in this classroom training?

Yes, we have group discount options for our training programs. Contact us using the form on the right of any page on the website or send am mail with your requirement and the student count to shailaja@kigyan.com. Our customer service representatives can provide more details.

8. What payment options are available?

Payments can be made using any of the following options. You will be emailed a receipt after the payment is made.

Any Credit or Debit Card
Bank Transfer using NEFT / RTGS
Direct payment in our centre through cash / cheque
Online payment wallet like Google Pay, PayTM….

Curriculam

DataScience With Python

Introduction to Business Analytics

Types of Business Analytics
- Descriptive
- Diagnostic
- Predictive
- Prescriptive
Areas of Analytics
Business Decision Making
Business Intelligence (BI)
Data Science
Big data & Analytics

Introduction to Python

Features of Python
History of Python
Installation of Python
- Anaconda
- Jupyter
- Yhat
Modes of Python
- Interpretation Mode
- Batch Script mode
Indentation in Python
Writing Comments in Python Programs

Programming in Python

Types of Variables & Datatypes
- String, Numeric & Boolean
- Tuple
- List
- Dictionary
- Set
Basic Operators
- In, +,*
Functions
- Built-in Sequence Functions
Control Flow in Python
- If, Else, Elif
- For Loops
- While loops
- Exception handling

Mathematical Computing with NumPy

NumPy Overview
Basics of NumPy
NumPy fundamental objects
Create and Print a NumPy array
Basic operators in NumPy
Shape manipulation & copy methods
Linear algebraic function
Writing Programs using NumPy

Scientific Computation with SciPy

Introduction to SciPy
Characteristics of SciPy
Sub Packages of SciPy
- Optimization
- Integration
- Linear Algebra
- Statistics
- Weave
- IO

Data Manipulation with Pandas

Introduction to Pandas
Data Structures of Pandas
Creating Series and Data Frames
Accessing elements form data structures
Vectorised Operations
Handling Missing Values
Analysing Data
Pandas SQL operations

Machine Learning with Scikit Learn

Introduction to Machine Learning
The machine Learning approach
Introduction to Scikit learn
Technologies for understanding a dataset
Supervised learning models
Unsupervised Learning models
Algorithms
- Regression
- Classification
- Clustering
- Directionality reduction

Natural Language Processing (NLP) with Scikit Learn

Introduction to NLP
How NLP is helpful
Modules to load contents and category
Feature extraction techniques
Approaches of NLP

Data Visulization with MATPLOTLIB

Introduction to Data Visualization & its inference
Why Python
Python libraries
MATPLOTLIB
Steps for Plotting
- Line plot
- 2D plot
- Multiple plots
- Sub plots
Types of Plots
Seaborn

Web scraping with Beautiful Soup

Introduction to Web scrapping
Web Scrapping Process
Introduction to Beautiful Soup
- The Parsers
- Objects
- Tree
Various Operations on Tree
- Searching
- Modifying
- Navigating
Parsing a Part of Document
Output- Formatting and Printing
Encoding

Python Integration with Hadoop

Hadoop Streaming – Python API
Mapper in Python
Reducer in Python
PySpark – Python API for Spark

₹15,000.00 + GST

Duration:

6 weeks

Lectures:

36Hrs

Trending Courses

Professional Certificate Course in ML

₹25,000.00 + GST

Professional Certificate Course in AI

₹50,000.00 + GST

Mastering Artificial Intelligence

₹1,80,000.00 + GST

BigData with Hadoop

₹20000 + GST

Data Science with R

₹15000 + GST

Advanced Machine Learning

₹15000 + GST

Deep Learning with Tensorflow

₹30000 + GST

Yarra Ramu Yarra Ramu

Getting moulding to the industry present requirement in hands of experienced and knowledge trainers... Proud to be a KIGYAN student...

raghavi venkatesh

Was very happy that we learnt something new which was unknown to us and had a good experience and the share of information was very clear and had a good sessions learning the topics

Certificate Course on
DataScience With Python

Certificate
Course
on
DataScience
With
Python

Certificate Course on DataScience With Python

Certificate Course on DataScience With Python

Certificate Course on
DataScience With Python

Certificate
Course
on
DataScience
With
Python