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Data Science with Python Training in Sunnyvale

80,646 Ratings

Rated #1 Data Science Program by India TV

This data science with Python course in Sunnyvale is designed to master concepts of Python, OOPs, Numpy, pandas, and more. Engage in hands-on projects, with guidance from industry experts, and earn your Intellipaat certification upon successful completion.

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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
Trustpilot 3109
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Data Science with Python Training in Sunnyvale Overview

What will you learn in our data science with Python training in Sunnyvale?

In this training, you will learn about:

  • Implementing data science concepts using Python
  • Probability and statistics
  • Mathematical concepts in data science
  • Python constructs and libraries
  • Data manipulation
  • Visualization of data
  • Machine learning and the types of ML
  • Dimensionality reduction

There are no prerequisites for joining this course. However, basic skills in any programming language can help in learning the concepts of Python and data science in an efficient manner.

  • Data Scientists earn an average of about US$186,000 p.a. in Sunnyvale, which is around 52% higher than the national average – Indeed
  • There are 1,000+ job openings for Data Scientists in Sunnyvale, California – LinkedIn
  • Even during the recession, Data Scientists are one of the most hired professionals in the IT industry – Analytics Insight

Those who have enrolled in our Sunnyvale data science with Python course should be:

  • BI and Project Managers
  • ETL Professionals
  • Big Data Professionals
  • Those pursuing a career in data science
  • 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

8+ Skills Covered

Python

Data Science

Data Analysis

Data Wrangling

Machine Learning

Prediction algorithms

Model

Data visualization

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6+ Tools Covered

python 1 jupyter 2 Scipy numpy pandas matplotlib
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Data Science with Python Course Fees in Sunnyvale

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
Weekend (Sat-Sun)

23 Nov 2024 08:00 PM - 11:00 PM
Weekday (Tue-Fri)

26 Nov 2024 07:00 AM - 09:00 AM
Weekend (Sat-Sun)

01 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

07 Dec 2024 08:00 PM - 11:00 PM
$351 10% OFF Expires in

Corporate Training

  • 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

Preview

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

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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 Sunnyvale

Python Data Science Course Certificate 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 become certified in data science by Intellipaat?

To obtain the Intellipaat recognized certificate in data science, students must successfully finish and turn in assignments, take part in projects, pass exams, and thoroughly engage with the course material.

Many credentials in Data Science from various organizations and certification organizations are believed to be valid for life. This suggests that since the certificate has no expiration date once it is achieved, you can demonstrate your proficiency in data science without having to renew.

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Python Data Science Training in Sunnyvale FAQs

Why should I learn Data Science with Python Training in Sunnyvale from Intellipaat?

This Intellipaat Python for Data Science training 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 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.

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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