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Data Analytics Course in Mountain View

84,718 Ratings

Rated #1 Data Analyst Course by Economic Times

Enroll in Data Analytics course in Mountain View, designed by industry experts, to become a certified Data Analyst. Get trained in SQL database, SAS, R programming, Microsoft Excel, etc. In the training program, you will get to work on real-time projects and receive 24/7 learning support from our experts.

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Data Analytics Course Key Highlights

50+ Live sessions across 7 months
218 Hrs of Self-paced tutorial videos
Get 200 Hrs of Project & Exercises
Learn from industry professionals and IIT Faculty
1-on-1 sessions with industry mentors
LinkedIn profile review and resume assistance
24*7 Support
No-cost EMI Option
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Data Analytics Course in Mountain View Overview

The experts at Intellipaat’s Data Analytics course in Mountain View aim to make you master Qlik Sense, Tableau, etc., along with the core concepts of Data Analytics such as regression modeling, data manipulation, and more.

What modules will be covered in our Data Analytics courses in Mountain View?

You will learn the following modules in Intellipaat’s Data Analytics training in Mountain View:

  • Concepts and applications of Data Science
  • R programming
  • Probability and statistics
  • Data exploration
  • Manipulating and visualizing business data
  • Tableau for blending data
  • Qlik Sense and MS SQL
  • Machine Learning technologies
  • SAS and Excel

This Data Analytics training in Mountain View is meant for the following professionals:

  • BI Managers
  • Project Managers
  • Developers
  • Information Architects
  • Data Analytics experts
  • Those aiming to start a career in Data Analytics

Here is why you should enroll in the Data Analytics course in Mountain View:

  • The average income of a Data Analyst in Mountain View, California, is approximately US$90,200 p.a., which is 44% more than the national average – Glassdoor
  • Over 1,000 job vacancies are posted for Data Analysts in Mountain View, California – LinkedIn
  • More than 85% of the companies are estimated to adopt Data Analytics and Big Data technologies by 2022 – World Economic Forum

There is no specific skill necessary to enroll in Intellipaat’s Data Analytics course in Mountain View. Prior knowledge of probability and statistics and interest in data analysis can, indeed, be useful.

  • Data Scientists make data-based decisions for a company, and Business Analysts analyze its past business data, whereas Data Analysts analyze the requirements of the company.
  • Data Scientists build Machine Learning systems by performing statistical analysis, while Business Analysts perform analysis and further report the business growth. Data Analysts, on the other hand, perform complete data analysis.
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Career Transition

55% Average Salary Hike

$1,22,000 Highest Salary

10000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet the Data Analytics Mentors

Dr.-Balasubramanian-R

Dr. Balasubramanian R

Professor at IIT Roorkee

Dr. Balasubramanian is a Professor at IIT Roorkee. He completed his PhD from IIT Madras in Mathematics and Computer Science and has 20 years of experience.

Sushanta-Karmakar

Dr. Sushanta Karmakar

Associate Professor at IIT Guwahati

Dr. Sushanta Karmakar is an Associate Professor at IIT Guwahati. He received his Ph.D. from IIT Kharagpur in the Computer Science and Engineering department and has over 15 years of experience.

Dr.-Narendra-S.-Chaudhari

Dr. Narendra S. Chaudhari

Professor at IIT Indore

Dr. Narendra Chaudhari, Professor of Computer Science and Engineering at IIT Indore, Dr. Narendra Chaudhari, a Professor at IIT Indore, specializes in network security, mobile computing, and machine learning. He holds a Ph.D. from IIT Bombay and has previously served as the Director of VNIT Nagpur and Vice Chancellor of Uttarakhand Technical University​Read More

Chandresh-Maurya

Chandresh Kumar Maurya

Professor at IIT Indore

Chandresh Maurya, a dynamic professor at IIT Indore with over 12 years of experience, excels in driving innovation and growth through his expertise in multimodal data processing, AI, ML, and DL. He has a proven track record of leading cross-functional teams and managing complex projects to deliver impactful solutions. His strategic vision and ability to tackle challenges have consistently enhanced operational efficiency and advanced research in Speech and NLP.Read More

Muthusamy-Manigandan

Muthusamy Manigandan

Data Science Consultant, Ex-Apple

He comes with more than 16 years of experience and worked with top MNCs like Apple, Amazon, etc.

Dr.Surya-Prakash

Dr. Surya Prakash

Associate Professor Department of Computer Science at IIT Indore

Dr. Surya Prakash, Associate Professor of Computer Science at IIT Indore, holds a B.Tech from IIT Kanpur, a Master’s from IIT Madras, and PhD from IIT Kanpur in Computer Science and Data Analytics with around 12 years of experience.

Dr.Vivek_

Dr. Vivek Kanhangad

Professor Department of Electrical Engineering at IIT Indore

Dr. Vivek Kanhangad did his Ph.D from Hong Kong PolyU. He specializes in computer vision, data analytics, pattern recognition, biometrics, and biomedical applications.

Birendar

Birendra Kumar Sahu

Head of Data Engineering and Science at Razorpay

He has 15+ yrs of IT experience and currently working as CTO at Razorpay. He has contributed to 85 intellectual disclosure reports, 4 USA patents, and a lot of research papers.

Suman

Suman Mukhopadhyay

Senior Director & Head of Technology Infrastructure / Cloud and Data Analytics at EdgeVerve

He has 23 yrs of experience in IT and worked at top MNCs like AT&T, Yahoo, Walmart, etc. He has managed multiple large-sized teams and multiple Data Science & AI projects.

Shajee

Shajee Pulukkool

Head - Data & Analytics at Rapyder Cloud Solutions

Shajee Pulukkool is working as the head of Data & Analytics. He comes with 22+ years of experience in software design & solutions.

What are the different job roles that I can apply for after this course?

Data Analyst

Data Analysts perform the entire life-cycle of data analysis, create reports and dashboards, identify trends, and monitor KPI metrics.

Data Scientist

A data scientist is responsible for performing statistical analysis to build machine learning systems statistical modeling to visualize insights and develop complex models from large datasets.

Data Analytics Specialist

A data analytics specialist collects, organizes, interprets, and summarizes numerical data to provide usable information.

Visualization and Reporting Analyst

Create data visualizations, such as reports, graphs, presentations, and dashboards, that are eye-catching, interactive, and easy to understand.

Business Intelligence Analyst

Identify, develop, and execute business analysis techniques to allow the team to make essential business decisions.

Business Analyst

Produce detailed reports and dashboards of high quality to give intuitive presentations.

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11+ Skills to Master

Proficient in SQL

Knowledge in Data Wrangling Techniques

Analyzing Complex Datasets

Predictive Models and Algorithms

Skilled in Data Visualization Techniques

Time Series Analysis and Forecasting

Strong Foundation in Machine Learning

Data Modeling and Reporting in Power BI

Expertise in Advanced Statistics

Data Mining Techniques

Statistical Computing

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Tools to Master

Adv-Excel SQL Power-BI-1 Presto python Knime
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Course Fees

Self Paced Training

  • 218 Hrs of Self-paced tutorial videos e-learning videos
  • LinkedIn profile review and resume assistance
  • 24*7 Support

$527

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50+ Live sessions across 7 months 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 10:00 AM - 01:00 PM
Weekend (Sat-Sun)

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

26 Nov 2024 07:00 AM - 09:00 AM
$1,492 10% OFF Expires in

Corporate Training

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

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Data Analyst Course Curriculum

Live Course Industry Expert Academic Faculty

Getting Started with Foundations of Data Analytics

Diving into Structured Query Language (SQL) for Data Management

Preview
  • Gain a basic understanding of SQL, including the Entity Relationship Model (ERM) and database normalization concepts
  • Elaborate SQL operators and demonstrate operations such as joins and subqueries
  • Learn how to use stored procedures, views, and SQL functions to manipulate and retrieve data efficiently
  • Explain SQL optimization strategies to improve performance and manage database concurrency to maintain data integrity, consistency, and isolation
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  • Exploring the basics of Python programming and how to set up IDEs. Also, understand the fundamental concepts of Python, such as syntax, data types, operators, and control structures
  • Grasping the Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, and polymorphism
  • Acquire practical experience with data manipulation using Python libraries such as NumPy and Pandas and learn to visualize data
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  • Learn the concepts of Descriptive Statistics, covering measures of Central Tendency, Dispersion, and Data Visualization Techniques, and understanding the application of probability for decision-making and statistical modeling
  • Dive into Inferential Advanced Statistics, including hypothesis testing and confidence intervals
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Learn Machine Learning Algorithms and Advanced Analytics Techniques

  • Understanding Fundamental of Machine Learning Concepts: Supervised and Unsupervised Learning, Model Evaluation, Clustering algorithms, and Feature Engineering
  • Learn Regression and its types (linear, logistic, and polynomial regression)
  • Explore Classification Algorithms, covering Decision Trees, Support Vector Machines, and Neural Networks
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  • Learn how to develop Classification reports using metrics such as Precision, Recall, Accuracy, Macro average, and Weighted Average
  • Describe how to Use the Confusion Matrix for Model Evaluation and Monitoring
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  • Performing time series data analysis, gathering insights and practical forecasting solutions using time series forecasting
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Implementing Real-world Business Applications, Case Studies, and Capstone Projects

  • Grasp different business domains such as finance, marketing, retail, and supply chain and articulate their distinct functions
  • Gain knowledge about formulating hypotheses for numerous business problems on samples and populations
  • Study about exploratory data analysis (EDA) and how it facilitates the foolproof production of actionable insights
  • Study how to narrate business problems and solutions in a simple, relatable format that makes them easier to understand, grasp, and recall
  • Develop actionable insights from raw, unstructured data to deploy real-world business solutions
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  • Define the problem statement and project objectives to contrast the scope of the data analytics capstone project. Alongside, build an approach to solving the problem by implementing optimal solutions using data analysis and modeling techniques
  • Use evaluation metrics and actionable insights to assess the performance of the optimal solutions
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  • In this case study on Customer churn, you will be using predictive modeling to find the causes of customer attrition to enhance customer retention
  • This case study on sales forecasting uses statistical methods and predictive analytics. It implements historical data and statistical techniques to predict future sales trends for better decision-making
  • Using Census Data for Demographic Insights, this case study analyzes demographic data to guide product development and targeted marketing strategies
  • This case study on predictive modeling focuses on real-world scenarios to improve decision-making and operational efficiency
  • This case study on HR Analytics uses workforce data to forecast turnover and improve recruitment and performance tactics
  • This case study on dimensionality reduction techniques illustrates the use of methods such as PCA to streamline datasets, improving model performance and efficiency
  • In this housing price prediction case study, implement statistical methods to predict real estate prices based on affecting factors
  • This case study on customer segmentation focuses on finding various customer segments for customized marketing and better experiences
  • In this inventory management case study, you will be using analytics to optimize inventory stocks, reduce capex and opex, and ensure product availability
  • In this case study on disease prediction, you will be implementing machine learning on patient data to analyze disease occurrence and take the necessary steps
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Elective

  • Mastering Excel For Data Analytics, Visualization, and VBA macros for automation
  • Explore the methods for ensuring data and file security
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  • Demonstrate Data Visualization and Analytics with Power BI for Managing Reports and Dashboards
  • Explore real-time applications of DAX in developing reports and dashboards
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  • Learning Job Search Strategies to establish networking and interview skills
  • Learn how to build an effective resume and manage a LinkedIn profile
  • Interview Preparation and Mock Interview Sessions Led by Industry Professionals
  • Placement opportunities with 400+ hiring partners upon passing the Placement Readiness Test (PRT)
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Project Work

Projects will be a part of your Data Analyst Master’s program to consolidate your learning. It will ensure that you have real-world experience in Data Analytics.

Career Services

Career Services
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Offering Placement Assistance
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Get an Exclusive access to Intellipaat Job portal
Guide Mock Interview Preparation
1-on-1 Sessions for Career Mentoring
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Offering Career-Oriented Sessions
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Guide for Resume & LinkedIn Profile Building
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Data Analytics Certification in Mountain View

Advanced-Certification-in-Data-Analytics Click to Zoom

Our Data Analytics courses in Mountain View are created by experts from top MNCs for professionals to get the top jobs in the best organizations. Further, this Data Analytics online course includes real-time projects and case studies that are highly valuable in the corporate world.

You will receive the Data Analyst Course certification from Intellipaat and iHUB IIT Roorkee after completing the Course program. Along with that, you will also be able to clear the following certifications:

  • SQL Certification
  • Power BI Certification

Data Analyst Course Reviews

( 84,718 )
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Sampson Basoah

Tableau Developer

This masters in data analytics content is thoroughly prepared, updated, and taught by the instructor in-depth. The course content is taught step-by-step by the trainer. I was a beginner in the field of Data Analytics but this course helped me to become proficient in Data Analytics.Read More

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Ramyasri Mandepudi

Recruiter at Goodwill Technologies

The trainers are amazing and the lectures included thorough understanding of all the concepts. Real life examples and the career mentoring sessions are useful at every step.

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Kevin K Wada

Oracle Developer at Free Agent

The course is thorough, well-structured, and provides a comprehensive knowledge of the Data Analytics field. The practice assignments and projects helped me a lot in nourishing my skills.

karthi814

Karthikeyan Ganesan

Extremely grateful to Intellipaat The explanation of concepts and topics were simple and comprehensive. Moreover, the training material was relevant, up to date, and easily understandable. They have a great support team.

remona-yacoop

Remona Yacoop

Teacher at VIBGYOR Group of Schools

Great training program. It was an amazing experience learning from Intellipaat. During this covid 19, it was extremely fruitful to learn and spend ample amount of time as a part of this institute. Intellipaat has also provided great support during the course. Besides, the instructor was very supportive in the course, guidance was also given to complete assignment and project which was very helpful.Read More

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Jijeemandati

Software Engineer at Akebono Soft Technologies

I had really a great learning experience from intellipaat. I found it as one of the best Data Analytics courses in Mountain View because it is much more convenient than classroom. Support team is quick in responding, training material is good and the best feature of intellipaat Data Analytics classes in Mountain View is the lifetime access of the course material.Read More

Sagnik-Biswas

Sagnik Biswas

Programming Analyst at Cognizant

It was a great learning experience offered by the trainers of Intellipaat. They provided proper explanation, direction and with the included practice tests you can master the course.

Land Your Dream Job Like Our Alumni

course alumni at Accenture, Mountain View
course alumni at Adobe, Mountain View
course alumni at Amazon, Mountain View
course alumni at Amdocs, Mountain View
course alumni at Artificial-Penetration, Mountain View
course alumni at Asianpaints, Mountain View
course alumni at Ather, Mountain View
course alumni at Bajaj, Mountain View
course alumni at BlueSmart, Mountain View
course alumni at Bosch, Mountain View
course alumni at Cisco, Mountain View
course alumni at Continental, Mountain View
Css Corp
DHL
EY
Emids
Ericsson
Fai
FedEx
Gartner
Genpact
Google
HSBC
Hcl
Hgs
ICICI Securities
Intuit
JP Morgan
Kotak
Micro Focus
Microsoft
Morgan Stanley
Mu Sigma
Nasdaq
PayPal
Persistent
Qubstudio
Saint Gobain
Samsung
Societe-General
Sony
Tcs
Tech Mahindra
Wipro
Yokogawa
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Data Analytics Training FAQ

Why should I learn Data Analyst course in Mountain View from Intellipaat?

Intellipaat Data Analytics Online Certification Course is an industry-designed course, designed for you to fast-track your career in the domain of data analytics. If you don’t want to get into the nitty-gritty of programming and spend lengthy hours in coding necessary for becoming a Data Analyst, then Intellipaat’s Data Analyst course in Mountain View is for you.

The online Data Analytics courses involve the following:

  1. You will work on real-life projects
  2. You will work on industry grade assignments with high relevance in the corporate world
  3. You can apply for best Data Analyst and Data Science jobs in top MNCs
  4. You will get lifetime access to the course and the course material, along with lifetime upgrade and 24/7 support

Intelllipaat offers courses on Big Data Hadoop, Data Science, Machine Learning, Artificial Intelligence Online Course, Python, Python for Data Science, and Business Analytics Course

If you are looking for free resources on Data Analytics then read our blogs on Data Analytics tutorial, Data Analytics Interview Questions and also visit our Youtube channel for free videos.

Data Analysis is the process of data cleaning, transformation, and reporting carried out to generate valuable information that can enable business decision-making.

The tools used for Data Analysis make the tasks of data processing, data manipulation, data analysis, and pattern and trend identification much easier. Some of the top Data Analysis tools are:

  • R programming
  • Tableau Public
  • QlikView
  • RapidMiner
  • KNIME
  • Excel
  • Apache Spark
  • Splunk
  • SAS

Data Analytics: Data Analytics involves the process of discovering, interpreting, visualizing, and reporting the patterns in data that can drive business strategy, decisions, and outcomes.

Data Analysis: Data Analysis is a subset of the broader field of Data Analytics. Data Analysis consists of specific actions such as data cleaning, transformation, modeling, and questioning to help find useful information from a single and already prepared set of data.

Data Analysts: Data Analysts are those professionals who come up with meaningful insights from the data. They have both the technical expertise and the communication skills to derive and present quantitative findings to technical and non-technical teams, clients, and stakeholders.

A career in the Data Analytics domain is not just a good career option but one of the most popular careers today. You can find jobs in this domain across a diverse range of industries and companies around the globe by completing Master’s in Data Analytics.

As per the Bureau of Labor Statistics, the estimated growth rate for Data Analytics professionals will shoot up by 23% by the year 2026.

To become a Data Analyst, you must have the following qualifications:

  • For entry-level jobs, you need to have a Bachelor’s degree
  • For jobs at a higher-level position, you must have a Master’s degree
  • You should have a degree in the field of statistics, mathematics, computer science, or other similar domains.

For becoming a Data Analyst, you should meet the following criteria:

  • Gain a Bachelor’s ,or a Master’s degree in statistics computer science, or in the IT field
  • Acquire the skills required to become a Data Analyst
  • Gain experience in the Data Analytics field
  • Consider getting a certification from a reputed institute

You can attain all the necessary skills, gain real-time experience, and receive a certification with the help of Intellipaat’s course on Data Science with Python.

Having a college degree in the field of mathematics, probability, or computer science can definitely be beneficial. However, it is not mandatory for you to have the same. The main requirement of becoming a Data Analyst is that you need to possess the necessary skills in this domain. So, having a degree by enrolling yourself in Data Science course can help you immensely, however, it is still a secondary requirement.

Intellipaat offers self-paced training to those who wish to learn at their own pace. This training also gives you benefits like query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for entire lifetime. Also, you will get the latest version of the course material at no additional cost.

Intellipaat’s self-paced training is priced 75 percent lesser compared to the online instructor-led training. If you face any problems while learning, our team can always arrange a virtual live class with the trainers as well.

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