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Data Science with Python Training in Los Angeles

76,533 Ratings

The Data Science with Python training program in Los Angeles from Intellipaat will assist you in mastering your skills in data science analytics. The core concepts of the course include technologies like Matplotlib, Pandas, Data Visualization, Statistics, etc. After completing this online training program in Python data science, our SMEs will provide you with the technical expertise to help you become a certified Data Scientist.

Ranked #1 Data Science Program by India TV

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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 Los Angeles Overview

What are the topics you learn from this data science with Python training in Los Angeles?

  • Various steps in the data science process with Python
  • Time series forecasting
  • Introduction to dimensionality reduction
  • Integration of Python with Spark
  • Types of machine learning (ML) workflow
  • Unsupervised learning in ML
  • Supervised learning in ML

Here is why you need to join our python for data science course in Los Angeles:

  • Python Developers and Data Scientists are the top-hired technology jobs even amidst COVID-19 – Analytics Insight
  • A Data Scientist with Python skills makes approximately US$100,400 per annum in Los Angeles – PayScale
  • In Los Angeles, 400+ employers are seeking for candidates with Data Science and Python skills – LinkedIn

While there aren’t any pre-requirements, but learning would be easy if one has a basic understanding of programming.

Along with freshers, the below-mentioned professionals must enroll in our online training:

  • ETL Experts
  • Project Managers
  • Big Data Professionals
  • Software Developers
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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

Career Transition

55% Average Salary Hike

$1,20,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*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 Los Angeles

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
27 Apr

SAT - SUN

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

30 Apr

TUE - FRI

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

05 May

SAT - SUN

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

11 May

SAT - SUN

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

$1,229 10% OFF Expires in

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  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Python Data Science 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

Data Science with Python Certification in Los Angeles

Python-Data-Science-Course Click to Zoom
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Intellipaat.

How can I obtain the Intellipaat Certification in Data Science?

The Intellipaat recognized credential for data science requires successful completion and submission of assignments, active participation in projects, passing examinations, and full engagement with the course material.

Various Data Science qualifications from various organizations and accreditation organizations are believed to be everlasting. This suggests that you can show that you are proficient in data science without needing to renew because the certificate has no expiration date once it is issued.

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Python Data Science Course in Los Angeles Reviews

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Python Data Science Training in Los Angeles FAQs

Why should I learn Python for Data Science from Intellipaat?

This Python for Data Science training in Los Angeles 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 Python packages like Scikit and Scipy. You will be awarded the Intellipaat Course Completion Certificate after successfully 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 offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

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

Apparently, no. Our job assistance is aimed at helping you land 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 hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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