Professional Certificate in
Transit Analytics Course
- Get Trained by Trainers from ISB, IIT & IIM
- 16 Hours of Intensive Classroom & Online Sessions
- 20 Hours of Free Python Programming Videos
- Get IBM Certification at Additional Cost
- Get Quiz Questions and Use Cases
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Data Analytics has transformed transit planning by making it cheaper, faster, easier, safe, and more effective. With the help of Data Analytics collecting and understanding, critical information has become easier. The transit industry experienced a benign dip in performance due to the COVID-19 pandemic, and Data Analytics can guide effective resource investment and make a big impact, helping make informed decisions. Transit companies can maintain social equality and environmental justice, providing access and support for outlying areas and the underserved with the use of Data Analytics. The best part about the use of these tools is that companies can respond to customers in a faster way and make accurate decisions.
Overview of HR Analytics Course
With the increasing number of cities and businesses, transit organizations and transportation bodies have started using Transit Data Analytics actively to solve problems, prioritize investments, and win stakeholder support. It can provide complete end-to-end information regarding the trip like trip origin locations, routes, destinations, trip distance, and how much time is needed to travel, etc. By aggregating data from multiple sources, Transit Analytics can provide valuable information that can improve user experience with details including home and work locations, trip purpose, traveler demographics, and more. With the help of transit analytics companies can quickly access accurate data for every road in the country, every day of the year. 360DigiTMG Transit Analytics Certification course covers all the essential elements needed for the job of a Transit Analyst and will help in making informed decisions.
Transit Analytics Course Training Learning Outcomes
Machine Learning and Big Data Analytics have become game-changer in the Transit domain. This Certification Program is a sui generis attempt to blend Machine Learning solutions for traditional transit problems. Specifically designed to suit transit professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to transit industry data. The transit analytics course is meant for professionals from the transit industry as it provides a comprehensive picture of how Data Science and Artificial Intelligence can be leveraged to increase productivity and profits in decisions. Understanding the applications of Data Science, Machine Learning in wildlife preservation will be the prime objective of this content-rich program.
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Who Should Sign Up?
- IT Engineers
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Banking and Finance Analysts
- Marketing Managers
- Supply Chain Professionals
- HR Managers
- Math, Science and Commerce Graduates
Transit Analytics Course Modules
The digital world is built on the walls of data and Transit Analytics course is peering into the future. Put simply, Transit Analytics is bringing in all the data and combining it to provide strategic as well as predictive insights that can be used to improve one’s business strategy. In this module on Transit Analytics course, you will learn about the various systems and models of Transit Analytics course and how Machine Learning is helping to predict employee turnover. You will learn about the various techniques used during the screening and recruiting of candidates. This module also throws light on how the employee performance can be predicted through analysis and designing appropriate surveys. You will also learn how Deep Learning is mining the emotional state of the workforce. Along with the various advanced Transit Analytics techniques, you will also learn regarding Data Privacy and Security.
Trends in Transit Analytics Course
The global transit industry is estimated to grow at a CAGR of 3.4% through 2027.
Mobility as a Service (MaaS), is defined as the integration of various transport services into a single mobility service accessible on a demand. MaaS is now projected to reach $ 1 trillion by 2030.
By 2020 E-Commerce has registered growth of 44%, due to the shift of customers from offline to online shopping. Amazon Prime Day is an example where the sales on a respective day increased by 36% in 2020 compared to 2019. A reputed market survey agency has predicted the E-Commerce market to grow by a CAGR of 20.3% from 2021 to 2030.
The growth of Electric Vehicles in the commercial and passenger field is not new and 2022 has witnessed high growth in their sales as most of the transit companies have invested in electric vehicles.
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