Simplilearn’s data analytics courses in San Francisco offer an advanced understanding of critical data analytics and data science technologies, including Python, R, statistics, Tableau, Power BI, and SQL. Taking Data Analytics training in San Francisco gives students the skills and tools needed to succeed in this exciting career.
The Post Graduate Program in Data Analytics in partnership with Purdue University leverages Purdue’s academic excellence in Data Analytics and Simplilearn’s collaboration with IBM, providing a comprehensive view of the Data Analytics domain.
This Post Graduate Program in Data Analytics is in partnership with Purdue University, one of the world's leading research and teaching institutions, offering higher education at the highest proven value.We are committed to your success, changing the student experience with a focus on collaboration and the creative use of technology.
IBM is one of the leading innovators in Data Analytics and infuses this program with industry-relevant, hands-on training.
Simplilearn Career Service, powered by Talent Inc. helps to enable you to navigate career changes and get ready for the professional workforce.
Fast track your career in the Data Analytics field today. This comprehensive Data Analytics program curriculum covers the concepts of Statistics foundation, analyzing data using Python and R languages, interacting with databases using SQL, and visualizing the data using Tableau and Power BI.
Get started with this Post Graduate Program in Data Analytics in partnership with Purdue University and explore everything about this Data Analytics Bootcamp. Start your journey with the preparatory courses on Statistics and an Introduction to Data Analytics along with SQL training.
Make the Data Analytics foundation strong with the basics of statistics fundamentals, and techniques as the first step in the Data Analytics Bootcamp.
With this Programming foundation and Data Analytics with the Python Bootcamp program, you will learn programming fundamentals, how to analyze data in Python, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more.
Discover R programming with this Data Analytics Bootcamp. Learn how to write R code, utilize R data structures, and create your own functions.
With this Data Analytics Bootcamp program, you will master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language.
This Data Analytics Bootcamp covers Tableau Desktop 10 training that will help you develop various skills in the powerful data platform, including building visualizations, organizing data, and designing dashboards.
At the end of Data Analytics Bootcamp, bring your newly acquired Data Analytics skills together with a hands-on, industry-relevant capstone project that compiles every course into one portfolio-worthy capstone.
Simplilearn’s Power BI certification training will help you learn Power BI concepts like Microsoft Power BI Desktop layouts, BI reports, dashboards, Power BI DAX commands, and functions. In this Power BI certification course, you will explore to experiment, fix, prepare, and present data quickly and easily.
This Introduction to Artificial Intelligence (AI) is designed to help learners decode the mystery of artificial intelligence and its business applications. This AI for beginners course provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics.
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.
Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.
Make a model to predict the app rating, with other information about the app provided to boost its visibility.
Predict store sales and demand, factoring in economic conditions for the retail giant Walmart’s stores across the United States.
Help the US-based multinational corporation IBM identify the factors that influence the attrition of their employees across the enterprise.
Determine the key metrics to identify the star restaurants
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Patrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of Science at Purdue University and named the 2018 Distinguished Lecturer in Data Science by the IEEE. He provides expert advice on applications of data science.
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
This Data Analytics post-graduate program caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
I have enjoyed every session. My favorite was tableau and the capstone class with the tutor, Venkanna. Thank you, Simplilearn, for the fantastic job of helping professionals transform their careers. I feel more confident at work now than ever.
"I'm thrilled to share that I have completed my Post Graduation in Data Analytics from Simplilearn. I am happy that my eight months of hard work, overnight studies, ten plus hours of weekend classes, and all my efforts have paid off. Special thanks to Shubham Pandey and Kapil Muley for their guidance. "
We have seen so many ups & downs this year, and that's why we need to be future-ready. I treat this program as a small accomplishment in my academic career. It's never late to start something new, and I feel glad to have completed the bootcamp from Purdue University and Simplilearn.
Simplilearn is a great learning platform for aspirants who are looking to build a career in Data Analytics. It provides online learning with global intellectual faculties. It offers unparallel service and is the best place to attain professional knowledge and grow in one's career. I am very, very thankful to Simplilearn.
Simplilearn's courses are well organized and explanatory, which gives you a perfect head start. The projects also involve brainstorming. I am a beginner in coding, and still, I can understand the content very clearly. They'll make you understand the concepts all the way from the basics, which is the best part.
It has been a great learning experience so far. The entire program is very informative, and the trainers are incredibly knowledgeable. The course format is comprehensive and helps in a better understanding of the course concepts. Lab support is excellent. Thanks to Simplilearn for making learning accessible to employees.
Data and analytics jobs are predicted to increase 15 percent by 2020, according to an IBM report. The global analytics market is expected to grow by $105.89 billion during the period of 2019 to 2023 (Source: Technavio - Global Analytics Market 2019-2023 report).
For Data Analyst jobs by 2026
estimated for Data science
roles in 2026
Candidates can apply to this Data Analytics Bootcamp program in 3 steps. Selected candidates receive an offer of admission, which is accepted by admission fee payment.
Tell us about yourself and why you want to do this Data Analytics program
An admission panel will shortlist candidates based on their application
Selected candidates can join the Data Analytics program within 1-2 weeks
For admission to this Post Graduate Program in Data Analytics, candidates:
A bachelor's degree with an average of 50% or higher marks
Prior work experience is not mandatory
Can be from programming or non-programming background
We have a team of dedicated admissions counselors who can guide you as you apply to this Data Analytics program. They are available to:
The admission fee for this Data Analytics post-graduate program is $ 3,000. This fee covers applicable program charges and Purdue Alumni Association membership fee.
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
19 Dec, 2021
8 Jan, 2022 - 17 Jul, 2022
08:00 - 12:00 CST
Weekend (Sat - Sun)
6 Jan, 2022
22 Jan, 2022 - 17 Jul, 2022
08:00 - 12:00 CST
Weekend (Sat - Sun)
For admission to this Post Graduate Program in Data Analytics in San Francisco Bay Area, candidates:
Yes. This Post Graduate Program in Data Analytics in San Francisco Bay Area will teach you the fundamentals of programming languages, statistics, and industry standard techniques from scratch to build up your foundational knowledge and enhance your analytics career journey.
The admission process consists of three simple steps:
We have partnered with Affirm to provide competitive financing options(EMI option available) including 0%APR with no hidden costs for different tenures.
To ensure money is not a barrier in the path of learning, we offer various financing options to help make this data analytics certification course in San Francisco Bay Area more financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
Upon successful completion of this program in San Francisco Bay Area, you will be awarded a Post Graduate Program in Data Analytics certification by Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.
Once you make the first installment of the Data Analytics program fee, you will be given access to a preparatory course with eight to 10 hours of self-paced learning content in the form of videos. You will have to go through the assigned course before attending the first class.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Data Analytics on your first attempt. They engage students proactively to assure the course path is followed and to help you enrich the learning experience, from class onboarding to project mentoring and job assistance.
All of our highly qualified Data Analytics instructors are Business Intelligence experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain part of our faculty.
Upon completion of the following minimum requirements, you will be eligible to receive the Post Graduate Program certificate that will testify to your skills as an expert in Data Analytics.
|Course||Course completion certificate||Criteria|
Introduction to Data Analytics
|Required||85% of online self-paced completion|
|R programming for Data Science||Required|
|Data Science with R||Required||1. 85% of online self-paced completion or attendance of one live virtual classroom,
2. A score above 75% in the course-end assessment
3. And successful evaluation in at least one project
|Analytics and Programming Foundation||Required||1. Attendance of one live virtual classroom,
2. A score above 75% in the course-end assessment
3. And successful evaluation in at least one project
|Data Analytics with Python||Required|
|Data Analyst Capstone||Required||Attendance of one live virtual classroom and successful completion of the capstone project|
Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact help and support.
We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Analytics program.
Yes, you can cancel your enrollment if necessary. We will refund the program price after deducting an administration fee. To learn more, you can view our Refund Policy.
This Post Graduate Program in Data Analytics in San Francisco Bay Area is offered on a non-credit basis and is not transferable to a degree.
A senior data analyst in San Francisco earns an average salary of $111,637 annually. If you have completed data analytics courses in San Francisco, then you’ll be in a better position to negotiate a salary you can be happy with.
Companies now generate a lot of data, with almost every aspect of their operation. To make sense of the reams of data being generated, companies like PG&E and Ursus hire senior data analysts who have done data analytics courses in San Francisco.
A number of major industries have set up shop in San Francisco. Tourism plays an important role in the city’s economy, but financial services and technology industries have also blossomed in recent years. Having data analytics training in San Francisco can be of great help.
Just about everything is data-driven these days, from market research and sales figures to expenses and logistics. To most people, this information can be overwhelming and daunting. It can be difficult and time-consuming to sort through it all and know what’s important, what isn’t, and what it all means. This is where Data Analysts come into the picture: they take this information and do thorough data analysis and turn it into useful information for businesses, which allows them to make more informed decisions in the future.
Though not mandatory, it is beneficial to have basic coding skills when you are seeking a Data Analysis jobs. This Data Analytics Bootcamp covers everything you require to become eligible for this job role.
The aim of Data Analysts is to extract meaningful insights from raw data. For this, they need to be well-versed in using Data Analytics basics concepts like statistics, data mining, core math, and machine learning models. Simplilearn’s Data Analytics program covers all these concepts in detail to master in data analytics.
When you start learning data analytics, you should be familiar with statistics, core math concepts, programming basics (Python(to excel in the field of data analytics with python, R, or Java), and Linux fundamentals. A bachelor's degree in mathematics, statistics, computer science, or related fields is also beneficial to easily grasp the concepts of data analytics. Our Data Analytics Bootcamp program helps you learn data analysis online from scratch.
The time taken to learn data analytics varies from person to person. It depends on your dedication to studying, prior knowledge of the field, and work experience in data analytics. While some of the concepts may take a few days, others may take a couple of months to grasp. When you take our online Data Analytics program, you should apply the concepts you learned to real-world use cases to gain practical exposure and reinforce your learning.
The average annual Data Analyst job salary is over $61,000 per year.
Learning new skills and expanding your knowledge is always a plus point. This Data Analytics program is developed in partnership with Purdue University, a perfect blend of world-renowned curriculum and industry-aligned training, which makes the PG program in Data Analytics just the right one for you!
Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enroll in this Data Analytics program.
You will get a Purdue Alumni Association Membership after completing the Data Analytics program.
You’ll find the best-in-class Data Analytics programs covered in our PG program. The list includes:
Analytics and Programming Foundation
Data Analytics with Python
R Programming for Data Science
Data Science with R
Data Analyst Capstone
With the growing popularity of data analytics, several tools have been thought in this Data Analytics program. Some of the important Data Analytics tools that provide various advanced features include Tableau, Power BI, SAS, QlikView, RapidMiner, and MS Excel.
This Data Analytics program is completely online. You can access the data analysis online course material anytime and anywhere with a computer or smartphone connected to the internet.
We have a team of dedicated admissions counselors who can guide you as you apply for this Data analytics program.
We highly recommend that you follow the Data Analytics courses in the same order as listed in the learning path as the initial concepts are used in lessons that follow it.
Yes, you can access the course content even after the completion of the Data Analytics program.
Data is ruling businesses around the world. The more data-driven you’re, the more beneficial it is for your organization. By taking insights from data, you can make meaningful decisions, plan strategies, and help your business achieve its goal faster. Enrolling in this extensive Data Analytics program is definitely going to be an advantage, and nothing less.
Yes, you can join Data Analytics program even if you do not belong to a technical background. However, having a basic knowledge of programming languages and mathematics will be beneficial.
Yes, you can enroll in the PG in Data Analytics even if you don’t have any prior knowledge in Data Analytics since this program will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical Data Analytics skills.
San Francisco has nearly 900,000 residents, as of 2019, making it one of the top 20 most populous cities in the United States. It became an important financial hub following the California Gold Rush back in 1849. San Francisco has maintained its importance as a financial hub, while also developing into a cultural and commercial center as well.
San Francisco is home to successful sports team such as the San Francisco Giants, the San Francisco 49ers and the San Francisco Warriors. The weather in the city makes it ideal for outdoor activity. As a result, there are hundreds of kilometers of paths laid just for cycling.
San Francisco is a cornucopia of attractions and landmarks. The Golden Gate Bridge is a popular site as is the famed Alcatraz Island. You can even visit any of the many number of parks present in the city. Some other places you can go to in San Francisco include:
201 Spear Street, Suite 1100 San Francisco, CA 94105 United States