Python for Data Science Certification Training

An industry-oriented course designed by experts. Become a Data Scientist by mastering Python programming and concepts of Data Science as well as Machine Learning.

Watch
INTRO VIDEO

Duration
6 Weeks

Start Date
5th Sep, 2021

Format
Online

EMI Options
No interest EMI

Program Overviews

Key Highlights 
  • 42+ Hours of interactive learning
  • 30+ Hours of exercise and project work
  • 7+Projects, hands-on, and case studies
  • 24/7 Technical Support
  • Attend as many batches for lifetime
  • Placement Assistance
  • Lifetime access to LMS
  • Resume Building
Talk To Us  
IND : +91-8003428234

US : +1- 833-777-233 Toll Free 
Top skills you will learn

Python programming, NumPy, SciPy, Pandas, Matplotlib, Seaborn, Plotly, Cufflinks, Beautifulsoup, Scrapy, SciKit, Machine Learning algorithms, supervised, unsupervised, and more.

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Who should take up this course?

Freshers, anyone willing to build a career as a Data Scientist.

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What are the prerequisites for this course?

No prerequisite. We teach everything from scratch.

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Why should you take up this course?

The landscape of Data Science is projected to double its size by the year of 2025 (in 2019 it was 3.03 billion.) Data Scientists are the highest paying professionals in the industry. The average salaries of Data Scientists in India and in the US are 8 lacs/yr. and $124k/yr. respectively.

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Hiring Companies

Python for Data Science Certification Training Syllabus

An industry-oriented course designed by experts. Become a Data Scientist by mastering Python programming and concepts of Data Science as well as Machine Learning.

Placement Support

Get Placement support,   Receive Industry mentorship,   Dedicated career support,   Enhanz your skills & Career

Qualified opportunities from top organizations Increase your chance by 3x

Job Placement

Schedule 1-on-1 for Career Counselling Help you define your value proposition

Career Coach

Recruitment Drive to connect you with the best talent admirers in the Industry

Career

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TALK TO US 
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Course Fees

Choose your Dates specialisations,   Receive industry mentorship,   Dedicated career support,  
learn tools & languages & much more

Batches  Date 
TIME TABLE 

  Date  Days  Time 
26th Sep Sat & Sun (Weekend) 8:00 PM IST to 11:00 PM IST
3rd Oct Sat & Sun (Weekend) 8:00 PM IST to 11:00 PM IST
9th Jan Sat & Sun (Weekend) 8:00 PM IST to 11:00 PM IST

Course Fees
Details & Offers 

Was $ 258.00

Now $ 175.00

This Offer   Expires in

  • No interest
  • Time Scheduling For Proffesionals
  • Monthly EMI Facility
  • Learning Online
  • Expert Coaching & Guidance

Syllabus 

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions

14+ Programming Tools/ Languages

25 Expert Coaching Sessions

36+ Content Hours of Learning

• Introduction to Python
• Features of Python
• Advantages of using Python
• Companies using Python
• Installation process of Python
• Basic commands of Python
• Python Data Types
• Numbers
• Simple arithmetic operations in Python
• Assigning Variables in Python
• Operators in Python
• Strings
• Indexing, slicing, and formatting
• Lists
• Tuples
• Sets
• Boolean
• Dictionaries
• Python statements
• If Elif and Else Statements
• For loop
• While loop
• Range vs xrange in Python
• List Comprehensions in Python
• Chaining comparison in python
• Else with for and Switch Case in Python
• Using iteration in python
• Iterators in Python
• Iterators function
• Python functions and its types
• Defining a Function in Python
• Rules for naming Python function (identifier)
• Python Function Parameters
• Python Return Statement and calling a function
• Function arguments
• Python function argument and its types
• Default argument in Python
• Python keyword arguments
• Python arbitrary arguments
• Python built-In functions with syntax and examples
• Lambda expressions, map, and filter Functions
• OOP concept
• Attributes
• Class Keywords
• Class Object Attributes
• Methods in Python
• Data Hiding and Object Printing
• Constructors and Destructors in Python
• Class and static variable in python
• Class method and static method in python
• Inheritance, Encapsulation, Polymorphism & Abstraction
• Special Methods - Magic Method
• Modules
• Installing external packages and modules
• Working oPn yPi using pip Install
• Numeric, Logarithmic, Power, Trigonometric and Angular functions
• Python Errors and Exceptions
• Syntax Errors in Python
• Handling Exceptions in Python
• Raising Exceptions
• User-defined Exceptions
• Unit Testing in Python
• Decorators in Python
• Syntax of Decorators and Working with them
• Generators in Python
• Working with Generators
• NumPy
• Creating Arrays in NumPy
• Using Arrays and Scalars
• Indexing NumPy Arrays
• NumPy Array Manipulation
• Array Transportation
• Universal Array Function
• Array Processing
• Array Input and Output
• SciPy
• Clusters, Linning, Signals, Optimization, Integration, Sub packages
• Bayesian Theory
• Data manipulation
• Pandas libraries
• Dependency of NumPy libraries
• Pandas Series objects
• Pandas data frames
• Load and process data with Pandas
• Combining data objects
• Merging, and various types of data object attachments
• Record & clean notes, edit notes, visualize notes
• Matplotlib
• Seaborn
• Pandas Built-in Data Visualization
• Plotly and Cufflinks
• Geographical Plotting
• Web scraping in Python
• Web scraping libraries
• Beautifulsoup and Scrapy
• Installation of beautifulsoup
• Installation of Python parser lxml
• Creating soup object with input HTML
• Searching of tree
• Full or partial parsing
• Output print
• Searching the tree
• Introduction to Machine Learning
• Understanding SciKit Learn
• Need of Machine Learning
• Types in Machine Learning
• Machine Learning Workflow
• Understanding SciKit Learn!
• Machine Learning Use-Cases
• Machine Learning Algorithms
• Supervised Learning
• Unsupervised Learning
• Supervised learning
• Classification and Regression Algorithms
• Linear regression and how to do calculations in Linear Regression?
• Understanding Linear regression in Python
• Understanding Logistics regression
• Working with Supports vector machine
• xgboost (standalone step)
• Unsupervised Learning
• Use Cases of Unsupervised Learning Understanding Clustering,
• Types of Clustering - Exclusive Clustering, Overlapping Clustering, Hierarchical Clustering
• Understanding K-Means Clustering and its algorithm
• Stepwise calculation of k-means algorithm
• Running k-means with SciKit Library
• Understanding association mining rule
• Market basket analysis
• Association rule mining and Apriori Algorithm

Industry Projects

Learn through real-life industry projects sponsored by top companies across industries
  • Engage in collaborative projects with student-mentor interaction
  • Benefit by learning in-person with expert mentors
  • Personalised subjective feedback on your submissions to facilitate improvement
  • Project Four

    Learn how Predictive Analytics can be used to decide the creditworthiness of...

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    What Our Learners Are Saying?

    Where our Alumni Works 

    Learn from leading faculty and industry leaders
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    Archit Jha

    Avatar Pre Sales Consultant
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    Avatar Solutions Architect
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    Suvarchala Kopella

    Avatar System Engineer
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    Avatar Cloud Consultant

    Certification

    Master's Degree from Eduranz

    Complete all the courses successfully to obtain this prestigious recognition from LJMU.
  • Connect with Global network of Faculty
  • Get access to complete digital library
  • Earn a Master's degree same as on-campus degree at 1/10th the cost
  • Corporate Training

  • Customized Learning
  • Enterprise Solution
  • 24x7 Support
  • CONTACT US

    FAQ's

    Frequently Asked Questions Related to Course

    Eduranz offers a unique online Python for Data Science Certification course for professionals who are willing to build a career in this rousing domain. There are many reasons to choose Eduranz: Interactive online instructor-led live classes conducted by SMEs Personal mentors who will keep a stage track of your progress in the course A Substantial LMS which allows the users to view their recorded sessions from their live classes along with the self-recorded courses Real-time exercises, assignments, industry-based use cases and real-world projects 24/7 learning support by the Eduranz’s dedicated tech support team Large community of learners from across the globe Industrially as well as globally recognized certificate by Eduranz Personalized job support, resume and interview preparation

    You never miss any lecture at Eduranz, because you will be provided with the recorded sessions of the live class on your LMS within 24 hours and despite that, you can also attend any different live session to cover up the missed topic and ask your doubts from the trainer or you can simply reschedule your batch and get yourself a new batch assigned.

    Live Virtual Classes or Online Classes. With online class training, you can access courses via video conferencing from your desktop to increase productivity and reduce work time and personal time.

    Eduranz offers a 24/7 request solution and you can pick up your tickets at any time from our dedicated support team. You can use email support for all your questions. If your request is not answered via email, we can also arrange one-on-one discussions with the faculty. You will be glad to know that you can switch to Eduranz support after completing the training. We also don’t limit the number of tickets you can collect when solving questions and doubts.

    Yes, Eduranz has a dedicated placement assistance team. Our job assistance program will help you reach the job you have been seeking. Under this program, we help you by building your professional resume and then sharing it across our network companies that we have tie ups with.

    Eduranz offers the most up-to-date, relevant and valuable projects in the real world as part of the training program. In this way, you can integrate what you have learned in the real industry. Each training is delivered with various projects where you can thoroughly test your skills, learning and practical knowledge so that you are well prepared for the industry. They work on very interesting projects in the fields of high technology, e-commerce, marketing, sales, networking, banking, insurance and more. After successfully completing your project, your skills will be counted as a result of six months of intensive industry experience.

    After completing the Eduranz Training Program along with all real projects, tests and assignments and achieving at least 60% points in the qualification exam; you will receive an industrial recognized certificate by Eduranz. This certification is recognized by companies all across the industry, which includes a lot of top MNCs worldwide.

    Our job assistance program will help you reach the job you have been seeking. Under this program, we help you by building your professional resume and then sharing it across our network companies that we have tie ups with. You will also be prepared for interviews through mock sessions. However, Eduranz is not a recruitment agency. We do not guarantee you a job. After we share your profiles with the companies, the further process depends upon your performance and their decision.

    All of our highly qualified instructors are industry experts with minimum 10-12 yrs. of relevant IT experience. Each of them underwent a rigorous selection process that included screening profiles, teaching assessments, and training demonstrations.

    Financial Options

    Avail Easy EMI For Learning with Our partnered Companies 

    NO COST EMI

    We are partnered with companies to provide financial options @ 0% interest

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    • No Prepayment Charges

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