Data Science with Python Training Course in Hyderabad | Data Science with Python Classes in Hyderabad

Data Science with Python Training in Hyderabad, India

Learn to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python

40 hours of Instructor-led sessions
Beginner to Advanced level
Hands-on learning

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Key Features

40 hours of Instructor-led training sessions

Interactive hands-on learning sessions

Understand the core fundamental concepts of Data Science

Learn to use matplotlib and seaborn for data visualizations & other advanced features

Learn to program with Python & create amazing data visualizations

Our Data Science experts will guide students in implementing the technology for future projects

Description

Data science has been touted as being among the hottest professions in the market today making data scientists a revered class of professionals who are much valued by their organization.

Start your path to becoming a Data Scientist, using the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms to convert your data into meaningful statistics through our coaching program. This Python for Data Science course from Zeolearn aims at helping you understand the core concepts of Data science and the practical expertise needed to use it for data mining, visualization and information management. You will learn both theory and practical subjects by working on some of the most common and famous examples.

Zeolearn offers Data Science with Python certification training with highly qualified and certified trainers. We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! We also provide reference materials to the registered individuals for free by our institute. Enrol now and get started on this rewarding career that drives top businesses in the world today!

What you will learn!

Programming with Python
NumPy with Python
Using pandas Data Frames to solve complex tasks
Use pandas to handle Excel Files
Web scraping with python
Connect Python to SQL
Use matplotlib and seaborn for data visualizations
Use plotly for interactive visualizations
Machine Learning with SciKit Learn, including:
Linear Regression
K Nearest Neighbors
K Means Clustering
Decision Trees
Random Forests
Natural Language Processing
Neural Nets and Deep Learning
Support Vector Machines, and much, much more!
You will also learn many tools like Spark, Jupyter, Tensorflow etc.,

Is this course right for you?

This Data Science with Python training is well suited for both beginners who wish to pursue data science as a career and experienced data analysts who wish to get a comprehensive in-depth understanding of using Python for data analysis.

Prerequisites:

Python is a prerequisite for pursuing this course, but since this course is also aimed at beginners, we have included an additional module on Python basics that will help them come up to speed with other Data Scientists with just an additional 12 hours of learning.

Who Can Attend?

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

Curriculum

Module 1: Course Introduction

Course Overview with Data Science

Module 2: Environment Set-Up

Environment Set-up and Installation –
Set up Anaconda, Jupyter, Ipython and install Python.
Set up an IDE - Option to choose from installing - PyCharm CE or Sublime or VIM or Emacs or VI

Module 3: Jupyter Overview

Jupyter Notebooks
Optional: Virtual Environments

Module 4: Python Crash Course

Introduction to Python Crash Course
Python Crash Course - Part 1 - Basics
Python Crash Course - Part 2 - OOPS concepts
Python Crash Course - Part 3 - Modules
Python Crash Course - Part 4 - Final
Python Crash Course Exercises - Overview
Python Crash Course Exercises - Solutions

Module 5: Python for Data Analysis-NumPy

Module 6: Python for Data Analysis - Pandas

Module 7: Python for Data Analysis - Pandas Exercises

Salaries Exercise Overview
Note on SF Salary Exercise
SF Salaries Solutions
E-commerce Purchases Exercise Overview
E-commerce Purchases Exercise Solutions

Module 8: Python for Data Visualization - Matplotlib

Module 9: Python for Data Visualization - Seaborn

Module 10: Python for Data Visualization - Pandas Built-in Data Visualization

Pandas Built-in Data Visualization
Pandas Data Visualization Exercise
Pandas Data Visualization Exercise- Solutions

Module 11: Python for Data Visualization - Plotly and Cufflinks

Introduction to Plotly and Cufflinks
Plotly and Cufflinks

Module 12: Python for Data Visualization - Geographical Plotting

Introduction to Geographical Plotting
Choropleth Maps - Part 1 - USA
Choropleth Maps - Part 2 - World
Choropleth Exercises
Choropleth Exercises - Solutions

Module 13: Data Capstone Project

911 Calls Project Overview
911 Calls Solutions - Part 1
911 Calls Solutions - Part 2
Finance Data Project Overview
Bank Data
Finance Project - Solutions Part 1 - Method 1
Finance Project - Solutions Part 2 - Method 2
Finance Project - Solutions Part 3 - Method 3

Module 14: Introduction to Machine Learning

Link for ISLR
Introduction to Machine Learning
Machine Learning with Python

Module 15: Linear Regression

Linear Regression Theory
Model selection Updates for SciKit Learn
Linear Regression with Python - Part 1 Introduction
Linear Regression with Python - Part 2 Deep dive
Linear Regression Project Overview
Linear Regression Project Solution

Module 16: Cross Validation and Bias-Variance Trade-Off

Bias Variance Trade-Off

Module 17 : Logistic Regression

Logistic Regression Theory - Introduction
Logistic Regression with Python - Part 1 - Logistics
Logistic Regression with Python - Part 2 - Regression
Logistic Regression with Python - Part 3 - Conclusion
Logistic Regression Project Overview
Logistic Regression Project Solutions

Module 18: K Nearest Neighbours

KNN Theory
KNN with Python
KNN Project Overview
KNN Project Solutions

Module 19: Decision Trees and Random Forests

Introduction to Tree Methods
Decision Trees and Random Forest with Python
Decision Trees and Random Forest Project Overview
Decision Trees and Random Forest Solutions Part 1
Decision Trees and Random Forest Solutions Part 2

Module 20: Support Vector Machines

SVM Theory
Support Vector Machines with Python
SVM Project Overview
SVM Project Solutions

Module 21: K Means Clustering

K Means Algorithm Theory
K Means with Python
K Means Project Overview
K Means Project Solutions

Module 22: Principal Component Analysis

Principal Component Analysis
PCA with Python

Module 23: Recommender Systems

Recommender Systems
Recommender Systems with Python - Part 1 The Foundation
Recommender Systems with Python - Part 2 Deep Dive

Module 24: Natural Language Processing

Natural Language Processing Theory
NLP with Python
NLP Project Overview
NLP Project Solutions

Module 25: Big Data and Spark with Python

Big Data Overview
Spark Overview
Local Spark Set-Up
Introduction to Spark and Python

Module 26: Neural Nets and Deep Learning

Frequently Asked Questions

Why should I pursue the Data Science with Python course?

According to a Forbes survey, Data Scientist was the best job to be pursued in 2016. This trend continues and according to experts will continue in the years to come because of the relevance of data and the benefits that can be had from it. The need to leverage big data is increasing every day in just about every industry with companies finding unique ways of accelerating productivity and capturing the market to stay on top of the competition. The role of a data scientist is one that is highly respected in the tech field and is an extremely rewarding career path. Expert data scientists are much in demand, as the analysis of the information stored in big data has become a key interpreter of competition and growth between firms.

Zeolearn academy recognizes this demand and hence brings this course that is aimed at giving you the expertise needed to mine, manage and extract data using the Python language. With our workshop you will be able to understand the language and leverage it to create outstanding programs for data interpretation and analysis.

Why Zeolearn?

Zeolearn brings you mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Programming such as Scala and C#, which are very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!

Will I get any certification on completion of the course?

You will receive Data Science with Python certification in the form of a course completion certificate.

What project am I expected to do?

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will use Python to build your own programs, parse the Web and analyse and interpret data. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certification.

When will the classes be held?

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

How many hours of study will be required every week?

You may be required to put in 10 to 12 hours of effort every week, including the classroom sessions/live class, self study and assignments.

Where will the classes be held?

We offer classes in classroom and online format. While classroom sessions are held in specific venues in your city, for online sessions all you need is a Windows computer with good internet connection and you can access the class anywhere, at anytime. A headset with microphone is also recommended.

You may also attend these classes from your smart phone or tablet.

What if I miss an online class?

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

Who will benefit most from this training?

This course is apt for existing and aspiring data analysts who wish to learn Python for Data Science.

What system requirements does one need for the Data Science with Python online tutorial?

One must have:

Macintosh (OSX)/ Windows(Vista and higher) Machine
Internet Connection

Data Science with Python Course in Hyderabad

Data Science with Python Foundation

The Python language is simple and flexible. It is undoubtedly the appropriate choice for statistics. Some of the highlights of using Python language are speed, productivity, extensive libraries etc. These factors have contributed to the field of data analysis to a great extent.

The Zeolearn Institute offers a comprehensive course for the beginners on data science with python foundation. The python for data science course in Hyderabad is best suited for programmers and those who aspire for a career in data science. Python language is up to date with the technological demands. Thus studying a course about this language is an additional qualification for programmers to mention in their resumes.

Key Features of the course

The data science with python training in Hyderabad comprises of 24 hours of immersive instructor-led training and interactive, hands-on learning sessions. After the registration, the students will be provided with free study materials for future references. The students will be trained to create a Python program to analyse data sets and models to solve complex problems. During the python for data science training in Hyderabad, the participants will learn about Python libraries for effective data processing and analysis.

Benefits of the data science with python classes in Hyderabad

During the training session, the students will be exposed to the fundamental concepts of Python including the data types, OOPs concepts etc. The students will develop an understanding about Python lists, functions and packages.

After the completion of the course, the students will receive data science with python certification in Hyderabad. The coaching is provided at an affordable fee for the students. The participants of data science with python online in Hyderabad must know basic arithmetic, algebra vectors etc. Thus joining the Zeolearn Institute here will be the right decision to ace Python for data science.

How We Can Help You

Data Science with Python Training in Hyderabad, India

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Online Classroom

Classroom

One to One Training

Team/Corporate Training

Key Features

Description

Curriculum

Frequently Asked Questions

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