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Data Science with Python Training in Houston

76,533 Ratings

Our Data Science with Python training in Houston is curated by Industry experts who provide extensive training on the concepts of Data Science and Python, such as the Lambda function, Matplotlib, NumPy, data manipulation and visualization, etc. with real-time implementation. By the end of the Data Science with Python course in Houston, you will have the skills you need to land a job in booming tech industry.

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Data Science with Python Course Key Highlights

50 Hrs Live sessions across 2 months
60 Hrs Project & Exercises
Learn from Top Industry Practitioners
1:1 with Industry Mentors
Resume Preparation and LinkedIn Profile Review
24*7 Support
No Cost EMI Option
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Data Science with Python Training in Houston Overview

What are the course modules covered in this Data Science with Python course in Houston?

Crucial learning modules of this course are as follows:

  • Introduction to Matplotlib
  • Types of Machine Learning
  • Linear regression in Python
  • Use cases of unsupervised learning
  • Basic operators in Python
  • Dimensionality reduction fundamentals
  • Time series forecasting

This Data Science with Python course in Houston is beneficial for the set of the learners mentioned below:

  • Big Data Professionals
  • Project Managers
  • Those aspiring to make a career in this domain
  • ETL Experts
  • There are 150+ Data Scientist job vacancies in Houston – LinkedIn
  • The average annual salary of a Data Scientist in Houston is US$143,000 – PayScale
  • Even amidst COVID-19, Python Developer and Data Scientists have recorded the top hiring’s within the IT industry – Analytics Insight
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Data Scientist: The Sexiest Job of the 21st Century - Harvard Business Review
Data really powers everything that we do. - By Jeff Weiner, CEO of LinkedIn

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55% Average Salary Hike

$1,20,000 Highest Salary

12000+ Career Transitions

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*Past record is no guarantee of future job prospects

Meet the Python Data Science Mentors

Skills Covered

Python

Data Science

Data Analysis

Data Wrangling

Machine Learning

Prediction algorithms

Model

Data visualization

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Tools Covered

python jupyter Scipy numpy pandas matplotlib
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Data Science with Python Course Fees in Houston

Self Paced Training

  • 60 Hrs Project & Exercises e-learning videos
  • 24*7 Support
  • No Cost EMI Option

$176

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50 Hrs+ Live sessions of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
19 Mar

TUE - FRI

07:00 AM TO 09:00 AM IST (GMT +5:30)

23 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

26 Mar

TUE - FRI

07:00 AM TO 09:00 AM IST (GMT +5:30)

31 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$1,229 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

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Data Science with Python Course Curriculum

Live Course

Module 1 – Introduction to Python and IDEs

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The basics of the Python programming language, how you can use various IDEs for Python development like Jupyter, Pycharm, etc.

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Module 2 – Python Basics

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Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.

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Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.

Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding.

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  • NumPy Arrays, CRUD Operations, etc.
  • Linear Algebra – Matrix multiplication, CRUD operations, Inverse, Transpose, Rank, Determinant of a matrix, Scalars, Vectors, Matrices.
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  • Loading the data, data frames, series, CRUD operations, splitting the data, etc.
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  • Exploratory Data Analysis, Feature engineering, Feature scaling, Normalization, standardization, etc.
  • Null Value Imputations, Outliers Analysis and Handling, VIF, Bias-variance trade-off, cross-validation techniques, train-test split, etc.
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  • Bar charts, scatter plots, count plots, line plots, pie charts, donut charts, etc. with Python matplotlib.
  • Regression plots, categorical plots, area plots, etc, with Python seaborn.
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The Data Science capstone project focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals: 

  • Extracting, loading and transforming data into usable format to gather insights. 
  • Data manipulation and handling to pre-process the data.
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Housing – This real estate case study will guide you towards real world problems, where a culmination of multiple features will guide you towards creating a predictive model to predict housing prices.

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  • Job Search Strategy
  • Resume Building
  • Linkedin Profile Creation
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Data Science with Python Training Projects

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!

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Data Science with Python Certification in Houston

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Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Intellipaat.

How can I get Data Science with Python certification in Houston?

To get the Data Science with Python certification from Intellipaat, you must complete all assignments, projects, and live classes led by the Industry experts. Upon completion, you will receive the data science with python certificate.

You will receive the Intellipaat certificate through our LMS, which has lifetime validity and is well-recognized by leading organizations across the world.

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Python Data Science Course in Houston Reviews

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Data Science with Python Training FAQs

Why should I learn Python for Data Science from Intellipaat?

This Intellipaat Python for Data Science training in Houston will give you hands-on experience in mastering one of the best programming languages, that is Python. In this online course, you will learn about the basic and advanced concepts of Python including MapReduce in Python, machine learning, Hadoop streaming, and also Python packages like Scikit and Scipy. You will be awarded the Intellipaat Certificate after completing the training course.

As part of this online data science with Python course, you will be working on real-time Python projects that have high relevance in the corporate world and step-by-step assignments, and the curriculum is designed by industry experts. Upon completion of the course, you can apply for some of the best jobs in the top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrading to the latest version at no extra fees. Hence, it is clearly a one-time investment.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have successfully completed the training and moved to the placement pool after clearing the PRT( Placement Readiness Test) More than 500+ top MNC’s and startups hire Intellipaat learners. Our Alumni works with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Apparently, no. Our job assistance is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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