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Data Analysis and Machine Learning Using Python Training
Rated 4.0/5 based on 48 customer reviews

Data Analysis and Machine Learning Using Python Training

Become a machine learning expert by mastering Python!

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Modes of Delivery

Classroom

Our classroom training provides you the opportunity to interact with instructors face-to-face.

Online Classroom

Collaborative, enriching virtual sessions, led by world class instructors at time slots to suit your convenience.

Description

Python is one of the fastest-growing high-level programming languages which enables clear programs on small and large scales. Widely considered the programming language of choice for serious developers, it is easy to learn and deploy, with design features that emphasize clarity of syntax, easy readability, and easy comprehension. Python can be used for large and small applications - to create web apps, games, or even a search engine. As programming in Python is much simpler than C, C++ and Java, this is the preferred language in many engineering, science and business applications.

This 5 day course in Data Processing and Analysis using Python introduces you to design methodologies to address data analysis/ machine learning scenarios that use Python packages such as Scipy, Pandas, statsmodels and scikit-learn to build solutions. You will learn how to manipulate, process, analyse and clean data using powerful libraries and tools. Using various real-life scenarios, you will learn the practical applications of data analysis using Python, and can learn how to integrate this modern and dynamic language with Hadoop.

On successful completion of the course, you will receive a Course Completion Certificate from KnowledgeHut with Credits (1 credit per hour of training).

What you will learn

At the end of this course, a participant will be able to build analytics applications using the wealth of scientific libraries available. Specifically, the following will be covered:

  • Advanced data structures and algorithms available in Scipy, Numpy and Pandas
  • Plotting using Matplotlib
  • Use Scipy, Numpy and Pandas for data modeling and analysis
  • Use the above libraries to create data frames, grouping, processing data and perform numerical and scientific analysis using Scipy, Numpy and Pandas
  • Creating classifiers, clusters
  • Strategies to deal with reducing dimensions, selecting appropriate data models
  • Use analytics libraries with Hadoop Map Reduce, PIG and HIVE
You will also get:
  • 5-days Instructor-led classroom training
  • High quality training from Industry experts
  • Downloadable e-book
  • Soft copy of the slide deck will be emailed
  • Solutions to workshop exercise


Key Features

5 days or 40 hours of intensive and interactive coaching
Learn from industry experts about machine learning and its practical applications
Downloadable e-book
24*7 support, live support during virtual classes
Course completion certificate issued by KnowledgeHut
Hands-on exercise and project work

Why Python?

Application Scenarios

  • Parallel processing
  • Data Classification
  • Building a kNN classifier
  • Reducing dimensions in data
  • Feature selection and extraction
  • Clustering
  • Machine Learning

Overview of available frameworks for data analysis

  • Plot, Subplot, Figures, Axes, Ticks
  • pylab
  • Plot configurations - changing color and line widths, limits, ticks, labels, spines, legends, annotations
  • Different kind of plots - scatter, bar, contour, images, pie, grid, polar axis
  • File IO
  • Linear Algebra Operations
  • Fast Fourier Transforms
  • Optimization and fit
  • Statistics and random numbers
  • Interpolations
  • Signal Processing
  • Image Processing
  • Data IO
  • Pandas Dataframes
  • Filtering/ Aggregating Dataframes
  • Webscraping
  • Vectorized string operations
  • Using IPython for interactive work
  • IPython notebooks
  • IPython for parallel computing
  • Configuration and Customization
  • Setting and Estimator objects
  • Predictions
  • Model selection
  • Training classifiers
  • Python in Hadoop Map Reduce
  • Python with PIG
  • Python with HIVE

Our Students

"The course content covered most of the basics and went deeper into details when required. Good hands-on exercises with practical examples."

"Excellent trainer and with confidence I can handle all sorts of PM scenarios and can challenge your mindset. Very good customer service from KnowledgeHut."

"I learned much from this training session, the faculty had good knowledge of the subject matter and provided good learning examples."

"2days PMP training was very good, I got lot of inspiration from this training."

Shreerang Bhawalkar

Shreerang Bhawalkar

ADP Dealer Services
Milind Gawaskar

Milind Gawaskar

Design Managr at NEC
Jan Miko

Jan Miko

Senior Digital Manager
Ada Lee

Ada Lee

Marketing Director

Frequently Asked Questions

Python is a rapidly growing high-level programming language which enables clear programs on small and large scales. Widely considered the programming language of choice for serious developers, it is easy to learn and deploy, with design features that emphasize clarity of syntax, easy readability, and easy comprehension. Python can be used for large and small applications - to create web apps, games, or even a search engine. As programming in Python is much simpler than C, C++ and Java, this is the preferred language in many engineering, science and business applications. You will learn how to manipulate process, analyse and clean data using powerful libraries and tools. Using various real-life scenarios, you will learn the practical applications of data analysis using Python, and can learn how to integrate this modern and dynamic language with Hadoop.

The training is aimed at Web masters, Programmers, Professional Software Developers, Scientists, Analysts and Entrepreneurs among others who wish to get in-depth knowledge of Python.

There are no prerequisites for taking the course.

Yes, this course is conducted as a virtual course. Call us for more information on the same.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

You will receive 1 credit per hour of learning.

The trainers are highly qualified and certified instructors with many years of experience.

It is easy to enroll for classroom training online. There are several options to pay either through your debit/credit card that includes Visa Card, MasterCard; American Express or - via PayPal. Payment receipt will be issued to the candidate automatically by email.

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund

Web masters, Programmers, Professional Software Developers, Scientists, Analysts and Entrepreneurs and anyone who wishes to get in-depth knowledge of Python will find value in attending this course.

Please send in an email to support@knowledgehut.com, and we will answer any queries you may have!

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