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Python for Data Science
Data science is a diverse domain used to gain insights from complex data.
Are you ready to jump start your career path to becoming a Data Scientist!
There are many course available for python,but in this course you get step by step with personal attention on every learner.
In this course we are covering each topic with in-depth with lots of example and different case studies.Once you complete this course you will able to solve complex python problem for data science.
Special offer! Enroll now and get for 499/-Only!
Python for Data Science Course Details
This course has 16 Modules
1
Module 1: Why Python
Python is general purpose programming language.Discover why python is so popular for data science.
2
Module 2: Environment Setup
In this module you will learn
- How to install Python
- Installing different python packages
- iPython Setup
3
Module 3: Introduction of Python Basics
Here you will deep dive in
- Keywords and Identifiers
- Statements, Indentation and Comments
- Variables and Datatypes
- Global and Local Variables
- Input and Output
- Operators
4
Module 4: Flow Control
In this Module you discover
- If...else
- while loop
- for loop
- break and continue
5
Module 5: Data Structure
Learn about Data Structure
- Lists
- Tuples
- Dictionary
- Strings
- Sets
- Format ()
- Range ()
6
Module 6: Functions
Learn more about functions
- Introduction
- Types of functions
- Function Arguments
- Recursive Functions
- Lambda Functions
7
Module 7: Classes
Classes are blueprint of program.Python is object oriented programming language.Lets discover more about classes.
- What is a class?
- Creating a Class
- Creating a object
- Constructor
8
Module 8: Packages
Package is way of structuring python code.We will learn here how to create our own custom packages and use other packages like seaboarn, sklearn etc..
- Why Package
- Import Package
- Selective Package
9
Module 9: File Handling
Learn How to handle files
- What is file Handling?
- Writing to a file
- Appending to file
- Reading from a file
- Delete a file
10
Module 10: Exception Handling
- Types of Errors
- Using Try and Except
- Raising Exceptions
11
Module 11: Numpy
- Introduction
- Numpy array
- Indexing and Slicing
- Statistical Functions
- Matrix Multiplication
- Vertical & Horizontal Stacking
- Maths Operation on array
12
Module 12: Pandas
- Introduction
- Series
- Create Data frame
- Reading data from CSVs
- Reading data from JSON
- Reading data from a SQL database
- Data frame to CSV, JSON, or SQL
- Review top or bottom records
- Dealing with Missing Values
- Apply function
- Data Frame slicing, selecting, extracting
13
Module 13: Matrix and Data frame
- Introduction
- Select Index or Column
- Add Row or Column
- Delete Row or Column
- Rename Row or Column
- Reshape
- Dataframe to File
14
Module 14: Lambda Function
- Introduction
- Why Lambda
- Examples
15
Module 15: Data Visualization and Matplot
- Introduction
- Line Plot
- Scatter Plot
- Histogram
- Pie Chart
- Bar Chart
- Word Cloud
- Selecting best plot
- Customizing plots
- Statistical plots with Seaborn
16
Module 16: Projects
- Introduction
- Project 1
- Project 2
Total duration: 20h | 1h Welcome Session, 19h live session | |
|---|---|---|
additional materials: pdf., videos,Python notebook | Free for members | |
related courses: Machine Learning | ||
assessment | Online test,Quiz | |
course rating | ||
Batch Starting | 7th July 2020 7 PM. |
100% Hands on Course
This course is purely result oriented instead of just lecture delivering.
LifeTime Access
Lifetime Access to our online training portal and free skill upgrade on your selected course.
Learn From Industry Experts
Learn and interact with industry experts. Get benefited from their experience.
Case Studies and Projects
Work with real time project and case studies to get better hands on to get job easier.
Certification
Get Certification of achievement on successfully completion on course via LMS.
Here’s what people are saying about the course
Nacier
Student
Trainer was really very patient and made sure to address all my doubts. The trainer tailored the material to meet the needs of students with varying skills and abilities. I found that Digital Innings has successful programs to accommodate people who are just starting out and up-skill those looking to get ahead. I really recommend to join this if you really want to make career in Data Science.
Thirth
Student
Very powerful course
Highly Recommended Course. Easy to Understand, Informative, Very Well Organized. The Course is Full of Practical and Valuable for Anyone who wants to Enhance their Skills. Really Enjoyed it. Thank you!!
Tanvi
Student
One of the best training ever attented
One of the best training's I have ever attended. Both the trainer's knowledge and patience are highly appreciated.
Course Enrollments started Ending Soon
APPLY TODAY to be a part of the Python for Data Science Masters Training Program
Don’t wait! Look at what past students have to say about this course
Shivani Patel
Student
Extraordinary content and training
I have enrolled in Python for Data Science Learning at TechNet Consultancy. The content of the course is elaborate and easy to understand. The faculty has clarity in his way of explaining, maintains a very good balance between theory and the practical process. It has been a great learning experience for me.
Nafisa
Student
One of the best trainer I ever meet
The course content prepared by Technet Consultancy is extremely inline to real time industry requirement. Also, hats off to the trainer for the knowledge of the subject and the ease of explaining concepts
Charmi
Student
Really great to have training at TechNet
consultancy
I would like to recommend anyone who wants to be a Data Scientist just one place: TechNet Consultancy. Explanations are crispy, clean, clear, easy to understand. I took the Data Science course and I'm going to take Big Data and Hadoop, Gulab Sir are really kind, every question receives the right answer. Thank you, TechNet Consultancy, to make me a Data Scientist.
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