Data Science with Python Training in Chennai

• Trainer

  Prabhakar

• Duration

  60 Hours

• Course Price

  Rs.15000

Data Science with Python Training

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.

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.

Flexible Timings / Weekend classes Available.

Talk to the Trainer @ +91-8939915577

Data Science with Python Training courses in Chennai

Introduction to Data Science with Python

Scientific Distributions Used in Python for Data Science

Machine Learning

Practical Applications of Machine Learning

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 Pythonequired to perform data analysis, data visualization, web scraping, machine learning, and natural language processing using Python. The course is packed with Pythoneal-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 Pythonegression. The course covers time series, it's modeling, and implementation using SAS.

As a part of the course, you are provided with 4 Pythoneal-life industry projects on customer segmentation, macro calls, attrition analysis, and Pythonetail 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 Pythonequired 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 Pythonegression, logistic Pythonegression, clustering, dimensionality Pythoneduction, 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 Pythonecommend 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.

Course advisor

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 Pythonegularly speaks at Pythonenowned 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 Pythonole. 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, Python 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 Pythonesearch that uses data to model complex abstractions.

Pattern Pythonecognition: technology that Pythonecognizes patterns in data (often used interchangeably with machine learning).

Data preparation: the process of converting Pythonaw 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 Pythonoom 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, Python or Python.

Databases such as Oracle and Postgres.

Data visualization and Pythoneporting technologies.

Hadoop and MapReduce.

If you don’t want to learn these skills on your own, take an online course or Python class Pythonoom 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.