Boost your career with our Data Analytics certification program. Simplilearn’s Data Analytics certification program in San Francisco are offered in partnership with Purdue University and in collaboration with IBM. Data analytics certification program in San Francisco brings concepts alive with renowned instructors, practical curriculum, and industry-aligned projects.
As low as
9/10 of our learners achieve their learning objectives after successful course completion*
Joint certificate from Simplilearn and Purdue University.
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM
Build your resume and prepare for interviews with valuable insights from industry experts
14+ industry-relevant projects from the likes of Google,Zomato and IBM and many more
Simplilearn’s Data Analytics certification program 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 certification program in San Francisco gives students the skills and tools needed to succeed in this exciting career.
The Data Analytics Program in partnership with Purdue University leverages Purdue’s academic excellence in Data Analytics & Simplilearn’s collaboration with IBM, providing a comprehensive view of the domain.
Fast track your career with this comprehensive Data Analytics Program curriculum, which 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 Data Analytics Program in partnership with Purdue University and explore everything about this Data Analytics certification. 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 Program.
With this Data Analytics Program 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 Program. Learn how to write R code, utilize R data structures, and create your own functions.
With this Data Analytics Program, you will master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language.
This Data Analytics Program 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 Program, 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 lets you explore Microsoft Power BI concepts like Power BI Desktop layouts, BI reports, dashboards, DAX commands, and functions. Learning how to experiment, fix, prepare, and present data quickly and easily is now convenient with our in-depth Power BI training. Microsoft Power BI is one of the most widely used business intelligence platforms, and our Power BI course follows a hands-on applied learning approach to help you gain expertise in it.
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.
( Toll Free )
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 the College of Science at Purdue University and was named the 2018 Distinguished Lecturer in Data Science by the IEEE.
Data science and analytics jobs are predicted to increase 28% by 2020, according to an IBM report. The global analytics market is expected to grow by $132.9 billion during the period of 2016 to 2026 (Source: Market research future report)
Expected New Jobs For Data Science And Analytics
Annual Job Growth By 2026
Average Annual Salary
This Data Analytics Program caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
For admission to this Data Analytics Program, candidates:
The admission fee for this Data Analytics Program is $ 2,999, which covers applicable certification charges & 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.
You can pay monthly installments for Post Graduate Programs using Splitit, Affirm or ClimbCredit payment option with low APR and no hidden fees.
We provide the following options for one-time payment
7 Feb, 2023
25 Feb, 2023 - 30 Sep, 2023
07:30 - 11:30 CST
Weekend (Sat - Sun)
13 Feb, 2023
17 Feb, 2023 - 20 Aug, 2023
21:30 - 01:30 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 fee, you will be given access to a preparatory program with eight to 10 hours of self-paced learning content in the form of videos. You will have to go through the assigned program before attending the first class.
Our teaching assistants are a dedicated team of subject matter experts here to help you get Professional Certificate 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 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 Program 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 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 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 collaboration with Purdue University, a perfect blend of world-renowned curriculum and industry-aligned training, which makes the Data Analytics Program 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 eligibility for Purdue Alumni Association Membership after completing the Data Analytics Program.
You’ll find the best-in-class modules covered in this Data Analytics Program. The list includes:
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 Analytics Program 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 Program curriculum 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 Data Analytics Program even if you don’t have any prior knowledge since this Data Analytics Program will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical Data Analytics skills.
These do not include any transcripts for WES, this is reserved only for degree. We do not offer sealed transcripts and hence, our certificates are not applicable for WES or similar services.
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
Data modeling is a flourishing field and an exciting option for anyone looking to carve a career in data science.
Data is essential for all successful business decisions.
These days, businesses handle tons and tons of data daily.
Given the increasing complexity of clouds, data quality management is essential in data centers.