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Python Certification Training

Open the doors of your career in Data Science with the help of Python Certification. TransGemini’s course gives you knowledge about its architecture and design philosophy, and the basics of scripts, applications, and packages through hands-on practical sessions.If you have a basic knowledge of programming concepts and object-oriented concepts and wish to make a career out of Python as a Software Engineer, Python Developer, Data Scientist, Data Analyst, Research Analyst or Software Developer, then choose the best Python certification course and make your dream career come true!

Why Should You Choose Python As A Certification?

  • Python is the preferred language for new technologies such as Data Science and Machine Learning.
  • Python has widespread use in the domains of web development, application development, developing games, etc.
  • Internalize the concepts & constructs of Python.
  • Master Python Django & advanced web development in Python.

Python Training - Online Self Paced Learning

Online Self Paced Learning

  • High quality videos.
  • Mobile apps.
  • Engaging case studies.
  • Full length simulated exam.
  • Estimation Cards.
  • Study guides & Podcasts.
  • 24*7 Learners Support.
  • Chapter tests.
  • Access To Body Of Knowledge.

Python Training - Instructor Led Training

18 th  May
Sat&Sun (4 Weeks) Weekends Batches
Timings: 07:00 AM - 11:30AM(IST)
Sold Out
25 th  May
Sat&Sun (4 Weeks) Weekends Batches
Timings: 07:00 AM - 11:30AM(IST)
Filling Fast
1 st  June
Sat&Sun (4 Weeks) Weekends Batches
Timings: 07:00 AM - 11:30AM(IST)
Pending
Course Price

$519

Enroll Now

Python Curriculum

  • Overview of Python
  • The Companies using Python
  • Different Applications where Python is used
  • Discuss Python Scripts on UNIX/Windows
  • Values, Types, Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Writing to the screen
  • Python files I/O Functions
  • Numbers
  • Strings and related operations
  • Tuples and related operations
  • Lists and related operations
  • Dictionaries and related operations
  • Sets and related operations
  • Functions
  • Function Parameters
  • Global Variables
  • Variable Scope and Returning Values
  • Lambda Functions
  • Object-Oriented Concepts
  • Standard Libraries
  • Modules Used in Python
  • The Import Statements
  • Module Search Path
  • Package Installation Ways
  • Errors and Exception Handling
  • Handling Multiple Exceptions
  • NumPy - arrays
  • Operations on arrays
  • Indexing slicing and iterating
  • Reading and writing arrays on files
  • Pandas - data structures & index operations
  • Reading and Writing data from Excel/CSV formats into Pandas
  • matplotlib library
  • Grids, axes, plots
  • Markers, colours, fonts and styling
  • Types of plots - bar graphs, pie charts, histograms
  • Contour plots
  • Standard Libraries
  • Modules Used in Python (OS, Sys, Date and Time etc.)
  • The Import statements
  • Module search path
  • Package installation ways
  • Errors and Exception Handling
  • Handling multiple exceptions
  • matplotlib library
  • Grids, axes, plots
  • Markers, colours, fonts and styling
  • Types of plots - bar graphs, pie charts, histograms
  • Contour plots
  • Basic Functionalities of a data object
  • Merging of Data objects
  • Concatenation of data objects
  • Types of Joins on data objects
  • Exploring a Dataset
  • Analyzing a dataset
  • Ipywidgets package
  • Numeric Widgets
  • Boolean Widgets
  • Selection Widgets
  • String Widgets
  • Date Picker
  • Color Picker
  • Container Widgets
  • Creating a GUI Application
  • Use of Folium Library
  • Use of Pandas Library
  • Flowchart of Web Map application
  • Developing Web Map using Folium and Pandas
  • Reading information from Dataset and represent it using Plots
  • Beautiful Soup Library
  • Requests Library
  • Scrap all hyperlinks from a webpage, using Beautiful Soup & Request
  • Plotting charts using Bokeh/li>
  • Plotting scatterplots using Bokeh
  • Image Editing using OpenCV
  • Face detection using OpenCV
  • Motion Detection and Capturing Video

Python Training

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About Python Training

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.Python Certification Training not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.

It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.
It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
It has evolved as the most preferred Language for Data Analytics and the increasing search trends on Python also indicates that it is the " Next Big Thing " and a must for Professionals in the Data Analytics domain.

  • Programmatically download and analyze data
  • Learn techniques to deal with different types of data – ordinal, categorical, encoding
  • Learn data visualization
  • Using I python notebooks, master the art of presenting step by step data analysis
  • Gain insight into the 'Roles' played by a Machine Learning Engineer
  • Describe Machine Learning
  • Work with real-time data
  • Learn tools and techniques for predictive modeling
  • Discuss Machine Learning algorithms and their implementation
  • Validate Machine Learning algorithms
  • Explain Time Series and its related concepts
  • Perform Text Mining and Sentimental analysis
  • Gain expertise to handle business in future, living the present
  • Programmers, Developers, Technical Leads, Architects
  • Analytics Managers who are leading a team of analysts
  • Developers aspiring to be a ‘Machine Learning Engineer'
  • Business Analysts who want to understand Machine Learning (ML) Technique
  • Information Architects who want to gain expertise in Predictive Analytics
  • 'Python' professionals who want to design automatic predictive models

The pre-requisites for edureka's Python course include the basic understanding of Computer Programming Languages. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, you will be provided with complimentary “Python Statistics for Data Science” as a self-paced course once you enroll for the course.

Frequently Asked Question's

Python is an object-oriented, interactive programming language which is supple and allows the lucid expression of concepts in fewer lines of code than in other languages. It is widely deployed for processing text, numbers, images or scientific data, and finds popular application in many development environments. Our course will hand hold you through the various fundamentals of Python going from basic to advanced and helping you master the language in a short time. Our experienced instructors will help you understand the fundamentals and give you hands-on training in handling and delivering Python packages. You can get up to speed with the latest best practices in coding with this multi-paradigm programming language that is actively used both in industry and academic circles. Python is among the most in-demand programming languages and Python developers can earn upto $116, 379 annually. This is the best time to learn this language.

  • How to use the Python and its environment
  • How to use Python functions to manipulate data
  • How to use Python modules, regular expressions and object oriented concepts

There are no restrictions but we recommend having basic programming knowledge.

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