Boost your career with our PGP in Data Analytics. Simplilearn’s data analytics courses in Vancouver are offered in partnership with Purdue University and in collaboration with IBM. Data analytics training in Vancouver brings concepts alive with renowned instructors, practical curriculum, and industry-aligned projects.
EMI Starting at
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 courses in Vancouver 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 Vancouver gives students the skills and tools needed to succeed in this exciting career.
The Data Analytics Course 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 Course 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.
This course gives you the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn the concepts of fundamental SQL statements, conditional statements, commands, joins, sub-queries, and various functions to manage your SQL database for scalable growth
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.
The next step to becoming a Data Analyst is learning R—the most in-demand open-source technology. R is a powerful Data Science and analytics language, which has a steep learning curve and a very vibrant community. This is why it is quickly becoming the technology of choice for organizations who are adopting the power of analytics for competitive advantage
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 the 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.
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.
Attend this live online immersive Masterclass on Generative AI designed to empower participants with the knowledge and skills to harness the incredible potential of generative artificial intelligence. These cutting-edge Masterclasses are taken by industry experts and delve deep into the world of AI-powered creativity, helping you to understand various concepts & topics related to generative AI.
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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.
Explore Excel to analyze sales based on various product categories.
Build an online car rental platform where customers should be able to view the available cars that can be rented based on categories
Build a dashboard to visualize the region-wise sales performance and suggest the necessary improvements.
Identify the causes and develop a system to predict heart attacks in an effective manner using the datasets on the factors that might have an impact on cardiovascular health.
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 $132.9 billion during the period of 2016 to 2026 (Source: Market research future report)
Expected New Jobs For Data Science And Analytics
Annual Job Growth By 2026
Average Annual Salary
This Data Analytics Course caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
For admission to this Data Analytics Course, candidates:
The admission fee for this Data Analytics Course is C$ 3,299, 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 payment option with 0% interest and no hidden fees.
We provide the following options for one-time payment
For admission to this Data Analytics Course, candidates:
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 Course more financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
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.
As a part of this Data Analytics Course, in collaboration with IBM, you will receive the following:
Though not mandatory, it is beneficial to have basic coding skills when you are seeking a Data Analysis jobs. This Data Analytics Course 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 Course 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 Course helps you learn data analysis online from scratch.
Unleash Your Potential: Find an Abundance of data management certifications.
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 Course, 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 Course is developed in collaboration with Purdue University, a perfect blend of world-renowned curriculum and industry-aligned training, which makes the Data Analytics Course 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 Course.
The admission process for this Data Analytics Course consists of three simple steps:
You will get eligibility for Purdue Alumni Association Membership after completing the Data Analytics Course.
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|
You’ll find the best-in-class modules covered in this Data Analytics Course. The list includes:
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.
With the growing popularity of data analytics, several tools have been thought in this Data Analytics Course. 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 Course is completely online. You can access the Data Analytics 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 Course.
Yes. This Data Analytics Course 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. These concepts will make you a master in data analytics.
Our teaching assistants are a dedicated team of subject matter experts here to help you get Post Graduate Program 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.
We highly recommend that you follow the Data Analytics Course curriculum in the same order as listed in the learning path as the initial concepts are used in lessons that follow it.
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.
Yes, you can access the course content even after the completion of the Data Analytics Course.
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.
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 Course is definitely going to be an advantage, and nothing less.
Yes, you can join Data Analytics Course 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 Course even if you don’t have any prior knowledge since this course will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical Data Analytics skills.
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 Course.
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 Data Analytics Course is offered on a non-credit basis and is not transferable to a degree.
Different job roles in data analytics are Business Intelligence Analyst, Data Analyst, Data Scientist, Data Engineer, Data Visualizer, Quantitative Analyst, Operations Analyst, Data Analytics Consultant, Marketing Analyst, IT Systems Analyst, Project Manager, and Transportation Logistics Specialist.
This Data Analytics Course is beneficial for you if you are a fresher because it covers enough information for entry-level positions. If you are interested in an analytical career, enrolling in a data analytics certification might help you prepare for a new job. Enrolling in this Data Analytics Course is strongly encouraged as it offers you a competitive advantage.
A data analytics consultant might use their skills to collect and understand the data. Data analytics consultants employ data sets and models to obtain relevant insight and solve issues. The Data Analytics Course offers intensive learning experiences that imitate the actual world and develop projects from scratch.
Data Analytics is a fast-growing discipline that offers professional opportunities across a wide range of sectors. Considering the current rising demand for competent Big Data specialists, there is no better time to be part of the big data job market. You require a robust array of basic analytical skills to create a career in data analytics. There are many ways to learn these skills, but the best approach for many of them is through Data Analytics Course.
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.
These masterclasses are delivered in the form of live virtual sessions by experienced industry experts. This delves deep into the world of AI-powered creativity, helping you understand multiple concepts & topics related to generative AI such as effective prompt engineering, ethical considerations in GenAI, and much more.
You will gain exposure to the world of Gen AI, some of its practical applications, some of the latest advancements in the field and much more - thus setting you apart from your competitors and helping you stay ahead in your career.