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Data Analytics Course in Los Angeles Online

5 ( 2,624 ) Ratings

If you want to become a certified Data Analyst, this Data Analytics course in Los Angeles by Intellipaat is the top choice. You will quickly acquire crucial skills such as handling SQL database, SAS, R programming, etc. You will be able to take up relevant case studies as part of the Data Analyst training in Los Angeles and receive 24/7 assistance from our experienced instructors.

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10+
Courses
25+
Projects
92
Hours
  • Online Classroom Training
    • Course 1
      Introduction to Data Analytics

    • Course 2
      SQL for Data Analysis

    • Course 3
      Data Analytics Using R

    • Course 4
      Tableau Desktop 10

    • Course 5
      Business Analytics with Excel

    • Course 6
      Data Analytics Capstone Project

  • Self Paced Training
    • Course 7
      Power BI

    • Course 8
      Advanced Excel

    • Course 9
      Statistics and Probability

    • Course 10
      SAS

    • Get Master's Certificate

Key Highlights

140 Hrs Instructor Led Training
112 Hrs Self-paced Videos
224 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
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Intellipaat-Key-Features
Intellipaat-Key-Features

Data Analytics Course in Los AngelesOverview

Our instructors at Intellipaat will ensure that you learn everything there is to know about Data Analytics, such as Machine Learning, Big Data Hadoop, Qlik Sense, Deep Learning, statistical analysis, RStudio, and all other concepts.

What will you be taught in this Data Analytics course in Los Angeles?

  • Statistical computing with R
  • Data Analytics: Introduction and the life cycle
  • Plotting and clustering
  • Data sampling
  • Probability essentials
  • Statistics
  • Decision trees and random forests
  • Data visualization
  • SAS for implementing advanced analytics
  • Real-time Data Analytics projects
  • Becoming a Data Analyst will be the best decision you can make for your career – Forbes
  • The average salary of a Data Analyst is US$86,374 annually in Los Angeles, CA – Salary.com
  • Over 740 jobs are available for Data Analysts in Los Angeles – LinkedIn

Intellipaat’s affiliation with Microsoft and IBM gives you an opportunity to receive certifications from two of the best organizations in the world. Apart from that, you will also receive a course completion certificate from Intellipaat. These certifications will really help you when you start seeking jobs.

There are no skill sets required to register for this Data Analytics training in Los Angeles. However, knowledge of probability and statistics will give your learning process a boost.

Any of the following individuals can take up this Data Analytics training in Los Angeles:

  • Data Analytics experts
  • Information Architects
  • Software Developers
  • Any professional from finance, HR, sales, marketing, BPO, and banking fields
  • Data Analyst aspirants
  • BI professionals
  • Project Managers
  • Data Analysts are responsible for identifying a business’s requirements. Data Scientists make decisions based on data that is already available. Business Analysts work with historical data. 
  • Data Analysts work on the life cycle of the data analysis process. Data Scientists implement statistical analysis for Machine Learning systems. Business Analysts’ job is to identify a business’s potential through implementation, creation, analysis, and reporting of the capabilities.
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Who can apply for the course?

  • Non-IT professionals in sectors like HR, banking, marketing and sales, etc.
  • BI professionals
  • Data Analytics professionals
  • Project Managers
  • Software Developers
  • Information Architects
Who can aaply

What roles does a Data Analyst play?

Data Analyst

Create predictive models like churn likelihood, customer lifetime value, and more and help the team implement these models accordingly.

Data Scientist

Develop models concerning numerous cost components that power the various margin awareness initiatives.

Data Analytics Specialist

Maintain the specifications of data engineering and meet the objectives in online data visualization platforms, such as Alteryx and Tableau.

Visualization & Reporting Analyst

Build attractive, interactive, and intuitive data visualizations, including reports, graphs, presentations, and dashboards.

Business Intelligence Analyst

Identify, build, and execute the techniques of data analysis to allow the team to make significant impacts in the business.

Business Analyst

Generate detailed reports, dashboards of high quality, and give presentations.

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Skills to Master

Data Science with R

Logistic Regression

Decision Trees & Random Forest

Tableau Desktop 10

Metadata & Data Blending

MS-SQL

SAS

PROC SQL

Subqueries

Power BI

Advanced Excel

Statistics

Probability

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Tools to Master

tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop
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Data Analyst Course Content

Live Course Self Paced

Module 01 – Introduction to Data Analytics

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Module 01 – Introduction to SQL
Module 02 – Database Normalization and Entity Relationship Model
Module 03 – SQL Operators
Module 04 – Working with SQL: Join, Tables, and Variables
Module 05 – Deep Dive into SQL Functions
Module 06 – Working with Subqueries
Module 07 – SQL Views, Functions, and Stored Procedures
Module 08 – Deep Dive into User-defined Functions
Module 09 – SQL Optimization and Performance
Module 10 – Advanced Topics
Module 11 – Managing Database Concurrency
Module 12 – Programming Databases Using Transact-SQL
Module 13 – Microsoft Courses: Study Material

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Tools covered

Tools Covered

Module 01 – Introduction to Data Science with R
Module 02 – Data Exploration
Module 03 – Data Manipulation
Module 04 – Data Visualization
Module 05 – Introduction to Statistics
Module 06 – Machine Learning
Module 07 – Logistic Regression
Module 08 – Decision Trees and Random Forest
Module 09 – Unsupervised Learning
Module 10 – Association Rule Mining and Recommendation Engines

Self-paced Course Content

Module 11 – Introduction to Artificial Intelligence
Module 12 – Time Series Analysis
Module 13 – Support Vector Machine (SVM)
Module 14 – Naïve Bayes
Module 15 – Text Mining

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Tools covered

Tools Covered

Module 01 – Introduction to Data Visualization and The Power of Tableau
Module 02 – Architecture of Tableau
Module 03 – Charts and Graphs
Module 04 – Working with Metadata and Data Blending
Module 05 – Advanced Data Manipulations
Module 06 – Working with Filters
Module 07 – Organizing Data and Visual Analytics
Module 08 – Working with Mapping
Module 09 – Working with Calculations and Expressions
Module 10 – Working with Parameters
Module 11 – Dashboards and Stories
Module 12 – Tableau Prep
Module 13 – Integration of Tableau with R

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Tools covered

Tools Covered

Module 01 – Introducing business analyst
Module 02 – Understanding business needs
Module 03 – Project management
Module 04 – Techniques used by business analysts
Module 05 – Software project methodologies
Module 06 – UML with Microsoft Visio

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Module 01 – Data Analyst Capstone

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Module 01 – INTRODUCTION TO POWER BI
Module 02 – DATA EXTRACTION
Module 03 – DATA TRANSFORMATION – SHAPING & COMBINING DATA
Module 04 – DATA MODELLING & DAX
Module 05 – DATA VISUALIZATION WITH ANALYTICS
Module 06 – POWER BI SERVICE (Cloud), Q & A AND DATA INSIGHTS
Module 07 – POWER BI SETTINGS, ADMINISTRATION & DIRECT CONNECTIVITY
Module 08 – EMBEDDED POWER BI WITH API & POWER BI MOBILE
Module 09 – POWER BI ADVANCE & POWER BI PREMIUM

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Tools covered

Tools Covered

Module 01 – Information of Statistics
Module 02 – Data Conversion
Module 03 – Terms of Statistics
Module 04 – Plots
Module 05 – Statistics & Probability
Module 06 – Distributions
Module 07 – Sampling
Module 08 – Tables & Analysis

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Module 01 – Entering Data
Module 02 – Referencing in Formulas
Module 03 – Name Range
Module 04 – Understanding Logical Functions
Module 05 – Getting started with Conditional Formatting
Module 06 – Advanced-level Validation
Module 07 – Important Formulas in Excel
Module 08 – Working with Dynamic table
Module 09 – Data Sorting
Module 10 – Data Filtering
Module 11 – Chart Creation
Module 12 – Various Techniques of Charting
Module 13 – Pivot Tables in Excel
Module 14 – Ensuring Data and File Security
Module 15 – Getting started with VBA Macros
Module 16 – Ranges and Worksheet in VBA
Module 17 – IF condition
Module 18 – Loops in VBA
Module 19 – Debugging in VBA
Module 20 – Dashboard Visualization
Module 21 – Principles of Charting
Module 22 – Getting started with Pivot Tables
Module 23 – Statistics with Excel

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Tools covered

Tools Covered

Module 01 – Introduction to SAS
Module 02 – SAS Enterprise Guide
Module 03 – SAS Operators and Functions
Module 04 – Compilation and Execution
Module 05 – Using Variables
Module 06 – Creation and Compilation of SAS Data Sets
Module 07 – SAS Procedures
Module 08 – Input Statement and Formatted Input
Module 09 – SAS Format
Module 10 – SAS Graphs
Module 11 – Interactive Data Processing
Module 12 – Data Transformation Function
Module 13 – Output Delivery System (ODS)
Module 14 – SAS Macros
Module 15 – PROC SQL
Module 16 – Advanced Base SAS
Module 17 – Summarization Reports

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Tools covered

Tools Covered
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Free Career Counselling

We are happy to help you 24/7

Interested in This Program? Secure your spot now.

The application is free and takes just 10-15 minutes to complete.

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 Transition

55% Average Salary Hike

$1,22,000 Highest Salary

10000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

Data Analytics Certification in Los Angeles

Our Data Analytics courses in Los Angeles 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 Analytics Certification from Intellipaat, Microsoft, and IBM. Along with that, you will also be able to clear the following certifications:

  • Tableau Desktop Qualified Associate Exam
  • SAS Certified Base Programmer Exam
  • Power BI Certification
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Industry Trends

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!

Career Services

Career Services
Resume

Career Oriented Sessions

Throughout the course

Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.

Resume

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage

Resume

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

Resume

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.

Resume

Assured Interviews

After 80% of the course completion

Assured Interviews upon submission of projects and assignments. Get interviewed by our 500+ hiring partners.

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Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

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Course Fees

Self Paced Training

  • 112 Hrs e-learning videos
  • Flexible Schedule
  • Lifetime Free Upgrade

$527

Online Classroom Preferred

  • Everything in self-paced, plus
  • 140 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
01 Aug

SAT - SUN

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

07 Aug

SAT - SUN

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

10 Aug

TUE - FRI

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

15 Aug

SAT - SUN

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

$702 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 Reviews

5 ( 2,624 )

Data Analytics Courses in Los Angeles FAQ

Why should I learn Data Analytics training in Los Angeles 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 Los Angeles is for you.

The online Data Analytics courses involves 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

You will get lifetime access to the course and the course material, along with lifetime upgrade and 24/7 support

If you are looking for free resources on Data Analytics then read our blogs on Data Analytics tutorialData 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 R Programming.

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 Scientist courses 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.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the 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 trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program 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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