MyCareerCube'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.
What are the objectives of this course?
After the completion of Python Certification Course at MyCareerCube, you should be able to:
1.Master the Basic and Advanced Concepts of Python
2.Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3.Master the Concepts of Sequences and File operations
4.Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5.Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6.Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7.Master the concepts of Map Reduce in Hadoop
8.Learn to write Complex MapReduce programs
9.Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10.Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11.Master the concepts of Web scraping in Python
12.Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
Who is it intended for?
Experienced Professional or a Beginner, Anyone who wants to learn programming with Python can start right away!Â This python course is exclusively designed for professionals aspiring to make a career in Big Data Analytics using Python. Software Professionals, Analytics Professionals, ETL developers, Project Managers,Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation of this widely-used open source general-purpose scripting language, can also opt for this course.
Although there are no hard pre-requisites, attendees having prior programming experience and familiarity with basic concepts such as variables/scopes, flow-control, and functions would be beneficial. Prior exposure to object-oriented programming concepts is not required, but definitely beneficial.Project Work A real world project showing scrapping data from Google finance and IMDB using beautiful soup.We will also perform sentiment analysis over the live tweets fetched from twitter.
Training FeaturesWith Mycareercube Online’s e-learning system, certification made simpler! You can take your career to next level.Our e-learning system is proven as the best elearning system available in the market and we gaurantee to make you a certified practicener.
Mycareercube courses includes
- Expert Instructor-Led Training
We use only the industry's finest instructors in the IT industry.Learn from our instructor and interact live at your desired place via virtual learning programs scheduled to run at specific times.
Online Exam Mockup Test
Mycareercube prepares you for live exam by attemping the online mocks. We test you in different ways; first, our learning tool, gives you feedback as to why an answer is correct or incorrect. Next, you’ll receive the questions presented in a randomized, timed format very similar to the live exam. Every time you take the exam, new questions appear. At the end of the test you will be shown, in percentage, what areas of the curriculum you are strong on as well as what areas you’re weak on.
- Navigation and Controls
We provide self-paced training programs are designed in a modular fashion to allow you the flexibility to work with expert level instruction anytime. All courses are arranged in defined sections with navigation controls allowing you to control the pace of your training. Decide when you want to learn at your own pace. 24 x 7. Audio-Video Courses for self-paced evaluation based learning.
What marks this course apart?
productive and their programs ultimately better. Python is continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python 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. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.Â