Post Graduate Program in Data Analytics
Boost your career with this Data Analytics Course, in partnership with Purdue University & in collaboration with IBM, which features master classes and follows an applied learning model designed with real-life projects and business case studies.
Joint certificate from Simplilearn and Purdue University.
Joint certificate from Simplilearn and Purdue University.
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM
Build your Resume and highlight your profile to recruiters with the career assistance services.
14+ industry-relevant projects from the likes of Google,Zomato and IBM and many more
Lifetime access to self-paced e learning content
This Data Analytics Certification Course is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
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.
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.
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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.
I had a great learning experience, and the faculty was very encouraging. The projects were vital in helping me understand whatever I learned during the course. I have also gained a lot of great professional contacts through this course. The course was very well structured, too.
For admission to this Data Analytics Certification Course, candidates:
The admission fee for this Data Analytics Course is $ 3,500, 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, ClimbCredit or Klarna payment option with low APR and no hidden fees.
Date
Time
Batch Type
21 Aug, 2024
08:30 CDT
14 Sep, 2024 - 30 Mar, 2025
08:30 - 12:30 CDT
Weekend (Sat - Sun)
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. The aim of Data Analysts is to extract meaningful insights from raw data. For this, they need to be well-versed in using basic Data Analytics concepts like statistics, data mining, core math, and machine learning models. Simplilearn’s Data Analytics Course covers all these concepts in detail to help learners master data analytics.
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 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 a Data Analytics Course.
The average annual Data Analyst job salary is over $61,000 per year.
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.
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.
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.
You will get eligibility for Purdue Alumni Association Membership after completing the 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.
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.
Out of the many job roles in data analytics, few prominent job roles 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.
Simplilearn for Business works with Fortune 500 and mid-sized companies to provide their workforce with digital skills solutions for talent development. We offer diverse corporate training solutions, from short skill-based certification training to role-based learning paths. We also offer Simplilearn Learning Hub+ - a learning library with unlimited live and interactive solutions for the entire organization. Our curriculum consultants work with each client to select and deploy the learning solutions that best meet their teams’ needs and objectives.