Python Online Course

Python Online Course


Python Online Course

Edureka’s Python course helps you gain expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers by transforming your career into Data Scientist role. You will use libraries like Pandas, Numpy, Matplotlib, Scipy, Scikit, Pyspark and master the concepts like Python machine learning, scripts, sequence, web scraping and big data analytics leveraging Apache Spark.

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.
Edureka’s Python Certification Training not only focuses on fundamentals of Python, Statistics, Machine Learning and Spark but also helps one gain expertise on 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, quiz and assignments and scenarios that help you gain practical experience in addressing an automation problem that would either require only Python or 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.
With exponential growth in data (as is evident from new Kaggle competitions that now support Torrent for downloading humongous data sets), it goes without saying that Data Scientist is incomplete without Big Data. So, in this course, we ensure you become a fully qualified Data Scientist by also teaching you basics of Spark in the context of data analysis and Machine Learning.
Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scipy, scikit, pyspark and master the concepts like Python machine learning, scripts, sequence, web scraping and big data analytics leveraging Apache Spark.

During this Python online course, our experts instructors will help you:

  • Write Python scripts, unit test code
  • Understand different types of Machine Learning problems and related data
  • Programmatically download and analyze data
  • Apply machine learning techniques and algorithms over data
  • Learn feature engineering techniques like PCA
  • Ascertain accuracy of predictions using RMSE, Log Loss, AUC, Cross Validation
  • Learn techniques to deal with different types of data – ordinal, categorical, encoding
  • Compare algorithms and improve accuracy
  • Learn data visualization
  • Using IPython notebooks, master the art of presenting step by step data analysis.

Get Python certification post completion of this course

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.

There is a booming demand for skilled data scientists and machine learning with Python professionals across all industries that make this course suited for participants at all levels of experience. We recommend this Python course especially for the following professionals:

Below are the professionals which should definitely take this course.

  • Programmers, Developers, Technical Leads, Architects
  • Data Scientists & Data Analyst
  • Business Analysts
  • Business Intelligence Manager
  • Statisticians and Analysts
  • Project Managers

There are no hard pre-requisites. Basic understanding of Computer Programming terminologies is sufficient.

Also, basic concepts related to Data analysis are beneficial but not mandatory.

You will also get familiar with basics of statistics during the course.

Industry: Human Resource management
Challenge –
AB Consultants is a company that outsources its employees as Consultants to top various IT firms. Their business had been increasing quite well over past, however in recent times there has been a slowdown in terms of growth because their best and most experienced employees have started leaving the Company. Inorder to prevent this proactively you first need to dive in to the Company’s Employee Data and find out an answer as to know why the best and most experienced employees are leaving.
Solution –
As a Data Analyst of the Company you are required do an analysis and find out patterns as to why the best employees are leaving so early.
Using Python, you derive at a forecast model to predict which employees could be leaving the company, as well as a probability as to why our best and most experienced employees are leaving prematurely. This will help to plan our next steps to avoid the churn out. You decide to create a script that will contain the following:
  • A visualization and distribution (of all the employee relative fields)
  • Forecast using different Machine Learning models and see the outcome
  • Compare different Machine Learning models and cross validate them
  • Find out why best and most experienced employees are leaving prematurely
  • Give a Final Prediction Model (the best one) to Forecast
The system requirement for Python course is a system with Intel i3 processor or above, minimum 3GB RAM (4GB recommended) and an operating system can be of 32bit or 64 bit.
Practicals can be executed using virtual machine given by Edureka with python and PyCharm community edition installed on it. Using PyCharm Community Edition, both the Spark and Python practicals can be executed.
The detailed step-wise installation guides are present in LMS which will help them to install and set-up the environment for Python.

Edureka Certification Process

  • Once you are successfully through the project (Reviewed by a edureka expert), you will be awarded with edureka’s Python for Data Science Expert certificate.
  • edureka certification has industry recognition and we are the preferred training partner for many MNCs including e.g. Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNYMellon etc