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Data Science With python Training in Chennai

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Data Science Training in Chennai

Data Science with Python Training in Chennai

Greens Technologys located in Adyar and OMR provides Data Science with Python training in Chennai. Learn analytics from data manipulation to predictive modeling - using Python. Get certified in 6 weeks.

In this Python Certification Training, you’ll become an expert in analytics techniques using the Python data science tool. Python Training institute in Chennai for Data Science offers a comprehensive learning foundation that you can build your analytics career on.

We offer job assistance (subject to project availability and partner requirements) for positions in India, Singapore, Dubai and the UK.

Do not wait anymore! Call Us @ 89399-15577 to know more about Data Science Training in Chennai. You can also contact us by submitting the Quick Enquiry form on the right side of this page to know more about the Data Science Course in Chennai.




About The Trainer

- Karthik is an experienced statistician and data miner with more than 10+ years of experience using Python and a passion for building analytical solutions. He is a M.S. in Quantitative Economics and Applied Mathematics graduate who has analytics experience working with companies like Capital One, Walmart, ICICI Lombard etc.

Karthik is a lead Data Scientist at Citi Bank. As a Certified Predictive Modeler, Statistical Business Analyst, and Certified Advanced Programmer, Karthik is passionate about sharing his knowledge on how data science can support data-driven business decisions.

Talk to the Trainer @ +91-89399 15577

FREE Demo Session: Try two FREE CLASS to see for yourself the quality of training.

Free Materials Povided during Demo sessions


Awarded as the Best Data Science with Python Training Center in Chennai - We Guarantee Your Data Science with Python Training Success in Chennai

Data Science with Python Training courses in Chennai


  1.   Introduction to Data Science with Python
  2.   Scientific Distributions Used in Python for Data Science
  3.   Machine Learning
  4.   Practical Applications of Machine Learning

Python Data Science Topics

Learn to use Python as your Data Science tool of choice This course teaches you Python as a tool for data science, and specifically for implementing an advanced Machine Learning algorithm with Python

  •   Critical Python programming skills.
  •   Accessing, transforming and manipulating data.
  •   Improving data quality for reporting and analytics.
  •   Fundamentals of statistics and analytics.
  •   Working with Hadoop, Hive, Pig and SAS.
  •   Exploring and visualizing data.
  •   Essential communication skills.
  •   Machine learning and predictive modeling techniques.
  •   How to apply these techniques to distributed and in-memory big data sets.
  •   Pattern detection.
  •   Experimentation in business.
  •   Optimization techniques.
  •   Time series forecasting.

Getting Started with Python

  •   Python Overview
  •   About Interpreted Languages
  •   Advantages/Disadvantages of Python pydoc.
  •   Starting Python
  •   Interpreter PATH
  •   Using the Interpreter
  •   Running a Python Script
  •   Python Scripts on UNIX/Windows
  •   Python Editors and IDEs.
  •   Using Variables
  •   Keywords
  •   Built-in Functions
  •   StringsDifferent Literals
  •   Math Operators and Expressions
  •   Writing to the Screen
  •   String Formatting
  •   Command Line Parameters and Flow Control.

Sequences and File Operations

  •   Lists
  •   Tuples
  •   Indexing and Slicing
  •   Iterating through a Sequence
  •   Functions for all Sequences
  •   Using Enumerate()
  •   Operators and Keywords for Sequences
  •   The xrange() function
  •   List Comprehensions
  •   Generator Expressions
  •   Dictionaries and Sets.

Deep Dive – Functions Sorting Errors and Exception Handling

  •   Functions
  •   Function Parameters
  •   Global Variables
  •   Variable Scope and Returning Values. Sorting
  •   Alternate Keys
  •   Lambda Functions
  •   Sorting Collections of Collections
  •   Sorting Dictionaries
  •   Sorting Lists in Place
  •   Errors and Exception Handling
  •   Handling Multiple Exceptions
  •   The Standard Exception Hierarchy
  •   Using Modules
  •   The Import Statement
  •   Module Search Path
  •   Package Installation Ways.

Regular Expressionsit’s Packages and Object Oriented Programming in Python

  •   The Sys Module
  •   Interpreter Information
  •   STDIO
  •   Launching External Programs
  •   PathsDirectories and Filenames
  •   Walking Directory Trees
  •   Math Function
  •   Random Numbers
  •   Dates and Times
  •   Zipped Archives
  •   Introduction to Python Classes
  •   Defining Classes
  •   Initializers
  •   Instance Methods
  •   Properties
  •   Class Methods and DataStatic Methods
  •   Private Methods and Inheritance
  •   Module Aliases and Regular Expressions.

Debugging, Databases and Project Skeletons

  •   Debugging
  •   Dealing with Errors
  •   Using Unit Tests
  •   Project Skeleton
  •   Required Packages
  •   Creating the Skeleton
  •   Project Directory
  •   Final Directory Structure
  •   Testing your Setup
  •   Using the Skeleton
  •   Creating a Database with SQLite 3
  •   CRUD Operations
  •   Creating a Database Object.

Machine Learning Using Python

  •   Introduction to Machine Learning
  •   Areas of Implementation of Machine Learning
  •   Why Python
  •   Major Classes of Learning Algorithms
  •   Supervised vs Unsupervised Learning
  •   Learning NumPy
  •   Learning Scipy
  •   Basic plotting using Matplotlib
  •   Machine Learning application

Supervised and Unsupervised learning

  •   Classification Problem
  •   Classifying with k-Nearest Neighbours (kNN)

Algorithm

  •   General Approach to kNN
  •   Building the Classifier from Scratch
  •   Testing the Classifier
  •   Measuring the Performance of the Classifier.
  •   Clustering Problem
  •   What is K-Means Clustering
  •   Clustering with k-Means in Python and an

Application Example.

  •   Introduction to Pandas
  •   Creating Data Frames
  •   GroupingSorting
  •   Plotting Data
  •   Creating Functions
  •   Converting Different Formats
  •   Combining Data from Various Formats
  •   Slicing/Dicing Operations.

Scikit and Introduction to Hadoop

  •   Introduction to Scikit-Learn
  •   Inbuilt Algorithms for Use
  •   What is Hadoop and why it is popular
  •   Distributed Computation and Functional Programming
  •   Understanding MapReduce Framework Sample MapReduce Job Run.

Hadoop and Python

  •   PIG and HIVE Basics
  •   Streaming Feature in Hadoop
  •   Map Reduce Job Run using Python
  •   Writing a PIG UDF in Python
  •   Writing a HIVE UDF in Python
  •   Pydoop and MRjob Basics.

Python Project Work

  •   Real world project

Data Science with R Course Training Modes

 
24x7 (Lab) Support with Real-time Databases. Course includes ONE Real-time Project. Register Today
Data Science Training in chennai

Job-Oriented Real-time Training @ Greens Technology Training Institute

 
All Training Sessions are completely practical and real-time. 24x7 LIVE Server & Lab Available. Affortable Fee in Installments.

Data Science with Python Training Course description

The Data Science with Python course is designed to impart an in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning, and natural language processing using Python. The course is packed with real-life projects, assignment, demos, and case studies to give a hands-on and practical experience to the participants.

Mastering Python and using its packages: The course covers PROC SQL, SAS Macros, and various statistical procedures like PROC UNIVARIATE, PROC MEANS, PROC FREQ, and PROC CORP. You will learn how to use SAS for data exploration and data optimization.

Mastering advanced analytics techniques: The course also covers advanced analytics techniques like clustering, decision tree, and regression. The course covers time series, it's modeling, and implementation using SAS.

As a part of the course, you are provided with 4 real-life industry projects on customer segmentation, macro calls, attrition analysis, and retail analysis.

Python Training Objectives

  •   Gain an in-depth understanding of data science process, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
  •   Install the required Python environment and other auxiliary tools and libraries
  •   Understand the essential concepts of Python programming like data types, tuples, lists, dicts, basic operators, and functions.
  •   Perform high-level mathematical computing using NumPy package and its large library of mathematical functions
  •   Perform scientific and technical computing using SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave.
  •   Perform data analysis and manipulation using data structures and tools provided in Pandas package
  •   Gain expertise in machine learning using the Scikit-Learn package
  •   Gain an in-depth understanding of supervised learning and unsupervised learning models like linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
  •   Use Scikit-Learn package for natural language processing
  •   Use matplotlib library of Python for data visualization
  •   Extract useful data from websites by performing web scrapping using Python
  •   Integrate Python with Hadoop, Spark, and MapReduce

Who should take this Python Data Scientist course?

There is an increasing demand for skilled data scientists across all industries that makes this course suitable for participants at all levels of experience. We recommend this data science training especially for the following professionals:

  •   Analytics professionals who want to work with Python
  •   Software professionals looking for a career switch in the field of analytics
  •   IT professionals  interested in pursuing a career in analytics
  •   Graduates looking to build a career in Analytics and Data Science
  •   Experienced professionals who would like to harness data science in their fields
  •   Anyone with a genuine interest in the field of Data Science

Looking to become a Python Certified Data Scientist?

Enrol in the Python training for Data Science. Get Python certification Become a Certified Data Scientist with our premium Python question bank.

Analytical talent is in high demand. Learn from the leader in analytics. With nearly 100 hours of learning content available, the Python training institute in Chennai for Data Science offers a comprehensive foundation for data science success.

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Course advisor

iot training chennai

Named by Onalytica as one of the three most influential people in Big Data, Also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. She also regularly speaks at renowned events.

What is a Data Scientist?

Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved.

The biggest benefits of getting Python certified is how it opens doors to employment. Python certification demonstrates that you can learn your job more quickly.

Typical job duties for data scientists

There's not a definitive job description when it comes to a data scientist role. But here are a few things you'll likely be doing:

  •   Collecting large amounts of unruly data and transforming it into a more usable format.
  •   Solving business-related problems using data-driven techniques.
  •   Working with a variety of programming languages, including SAS, R and Python.
  •   Having a solid grasp of statistics, including statistical tests and distributions.
  •   Staying on top of analytical techniques such as machine learning, deep learning and text analytics.
  •   Communicating and collaborating with both IT and business.
  •   Looking for order and patterns in data, as well as spotting trends that can help a business’s bottom line.

What’s in a data scientist’s toolbox?

These terms and technologies are commonly used by data scientists:

  •    Data visualization: the presentation of data in a pictorial or graphical format so it can be easily analyzed.
  •   Machine learning: a branch of artificial intelligence based on mathematical algorithms and automation.
  •   Deep learning: an area of machine learning research that uses data to model complex abstractions.
  •   Pattern recognition: technology that recognizes patterns in data (often used interchangeably with machine learning).
  •   Data preparation: the process of converting raw data into another format so it can be more easily consumed.
  •   Text analytics: the process of examining unstructured data to glean key business insights.

How can you become a data scientist?

Positioning yourself for a career in data science could be a smart move. You’ll have plenty of job opportunities, plus it’s a chance to work in the technology field with room for experimentation and creativity. So what’s your strategy?

If you’re a student

Choosing Greens Technologies, Best Python training institute in Chennai that offers data science and analytics training.

If you’re a professional who wants to shift careers

While most data scientists have backgrounds as data analysts or statisticians, others come from non-technical fields such as business or economics. How can professionals from such diverse backgrounds end up in the same field? It’s important to look at what they have in common: a knack for solving problems, the ability to communicate well and an insatiable curiosity about how things work. Learn how the Python training institute in Chennai for Data Science gives you the tools to become a certified data scientist.

you’ll also need a solid understanding of:

  •   Statistics and machine learning.
  •   Coding languages such as SAS, R or Python.
  •   Databases such as MySQL and Postgres.
  •   Data visualization and reporting technologies.
  •   Hadoop and MapReduce.

If you don’t want to learn these skills on your own, take an online course or Python class room training in Greens Technologys . And then, of course, you should network. Connect with other data scientists in your company, or find an online community. They’ll give you insider information into what data scientists do – and where you’ll find the best jobs.

  • 100% Practical Training

  • Your Flexble Timing

  • 100% Job Gurantee

Rated as No 1 training institute for Best Data Science Training in Chennai

Interested in our Data Science with python Training in Chennai, call 89399-15577 to talk to our career counselors and start your journey as an Data Science specialist!


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Data Science Training in Chennai
Live Project Training
Placement in MNC
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Data Science Training in Chennai

Adyar

No.11 , First Street ,
Padmanabha Nagar , Adyar ,
Chennai-600 020.

OMR

No.19, Balamurugan Garden, OMR Road, Thoraipakkam,
Kancheepuram (DT).

Velachery

No.28, Nagendra Nagar, Opposite Phoenix Mall, Velachery, Chennai - 600 042.

Tambaram

No.1, Appa Rao colony,
Tambaram,
Sanatorium,
Chennai - 600 047.

Anna Nagar

SDV Arcade
4th floor, AB-5, 2nd Ave, Anna Nagar, Chennai - 600 040.


Data Science Training in Chennai

Data Science Training in Chennai
best Data Science training center in chennai "Karthik! I am really delighted about the Python course and i am surprised to see the depth of your knowledge in all aspects of the SAS. I see that many statistician with over 15+ yrs experience doesn't have the knowledge that you have. I really enjoyed your sessions, definitely look forward to learn more from you in the future. Thanks again."


Data Science training in chennai

"Dear Karthik, Python training has been outstanding. You have covered every aspect of the Python which would boost the confidence of the attendee to dive into greater depths and face the interviews subsequently. I feel confident after attending the Python course. I am sure you would be providing us your valuable high level guidence in our initial realtime project . Each of your session is a eye opener and it is a great joy to attend your Python training. Thanks and Kindest Regards"


Data Science training classes in chennai

"I thought I knew Python until I took this course. My company sent me here against my will. It was definitely worth and I found out how many things I was doing wrong. Karthik is awesome. but i got a lot inspired by you. I will keep in touch and will always try to learn from you as much as I can. Thanks once again Karthik"


Flutter training chennai "I think this is the best Python course I have taken so far..Well I am still in the process of learning new things but for me this learning process has become so easy only after I joined this course..as Sajin is very organized and up to the point.. he knows what he is teaching and makes his point very clear by explaining numerous times. I would definitely recommend anyone who has any passion for Cloud."

Greens Technologys Overall Reviews

Greens Technologys Overall Reviews

5 out of 5 based on 17,981 ratings. 17,981 user reviews.


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