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
1 Oct, 2024
08:30 CDT
16 Nov, 2024 - 25 May, 2025
08:00 - 12:00 CST
Weekend (Sat - Sun)
A data analytics certificate is a professional credential demonstrating an individual's proficiency in collecting, organizing and analyzing data to derive insights and make data-driven decisions. It typically involves completing a course curriculum focused on various aspects of data analytics, such as data collection, cleaning, visualization, and interpretation.
It provides comprehensive training in essential skills and tools, offering practical experience and industry-recognized validation of your abilities to analyze and interpret data effectively. Once earned, this certification is a powerful endorsement of your skills and knowledge in data analytics.
Just about everything is data-driven these days, from market research and sales figures to expenses and logistics. While it can be overwhelming to most people, this is where data analysts come into play. The aim of data analysts is to analyze data and extract meaningful insights from raw data. This is done by collecting, cleaning, and interpreting large and complex data sets to answer a business question or solve a problem.
Analysts are required to have data analysis skills be well-versed in using basic data analytics concepts like statistics, data mining, core math, and machine learning models to do this. This data analytics course provides the skills to navigate this data overload, make it a manageable and valuable resource and finally, derive logical insights.
This data analytics course is ideal for newcomers as it covers enough information for entry-level positions while catering to more experienced professionals, providing an added layer of learning to enhance their proficiency. Some of the benefits of enrolling in this course include:
With data analytics growing in prominence and complexity, the domain has broken down into more specific roles. Some of these roles include:
And more
Data analytics experts are integral to organizations today, transforming raw data into meaningful insights that drive business strategy and operations, helping them gain competitive advantages, optimize processes, and achieve business objectives. Some of their top responsibilities include:
According to Allied Market Research, the global big data and business analytics market was valued at $198.08 billion in 2020 and is projected to reach $684.12 billion by 2030. Today, data collection and processing remain essential parts of any organization's process. This value growth underscores the increasing importance and urgent demand for data analytics to gain a competitive edge.
As a result, data analysis has also become an important task in determining any organization's future. Companies are constantly searching for qualified professionals skilled at analyzing complex sets of data, making sense of it and leveraging it for business benefit.
Our highly qualified instructors are data analytics and business intelligence experts with years of relevant industry experience. Each 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 trainers with a high alumni rating remain part of our faculty.
The admission process for the data analytics course consists of three simple steps:
Data analytics professionals generally enjoy competitive salaries due to the high demand for their skills. That said, the salary potential of a data analytics professional can vary widely based on factors such as experience, education, geographic location, industry, and the specific job role. A data analyst's average annual salary over a year is USD 67,574.
Yes, you can enroll in this data analytics course even if you have no prior knowledge. This course will take you from the fundamentals to the top of the ladder, where you will learn all the advanced skills to handle any critical task as a data analytics professional.
Data analytics is widely implemented across different industries to leverage data-driven insights to optimize operations, enhance customer experiences, and drive strategic decisions. Here are some of the top industries utilizing data analytics:
Yes, you can access the self-paced course content even after the completion of the Data Analytics Course.
We offer 24/7 support through chat for urgent issues. For other queries, we have a dedicated team that offers email assistance and callbacks on request.
To learn more about cancellation refunds, please read our refund policy
Once you pay the course fee or the first installment, you will be given access to a preparatory program with eight to ten hours of self-paced learning content in the form of videos.
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.