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Professional Certificate in

E-commerce Analytics Course

With our E-commerce Analytics course, you will emerge as an HR professional ready to grab innumerable opportunities in the space of Self-Service Avenues, Talent Management, Payroll, and Reporting.
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E-commerce Analytics course - 360digitmg
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Academic Partners & International Accreditations
  • E-commerce Analytics certification course  with Microsoft
  • E-commerce Analytics certification course  certification with NASSCOM certificate
  • AiSPRY
  • E-commerce Analytics certification course  with TUV
  • E-commerce Analytics certification course with SUNY
  • E-commerce Analytics certification course  with NEF
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With the advancement of the internet, E-commerce has boomed, and processing the large amount of data that is being generated has become paramount for the e-commerce industry to make informed decisions. E-commerce Analytics is referred to as a tool or strategy that is designed to analyze large amounts of data.
As e-commerce entirely exists in a virtual space it generates complex datasets about customer behavior. With the humongous amount of data generated, finding the right tool is vital for business development and survival in the competitive world.
Technology evolves rapidly and shopping trends change daily. So using the same tool for a longer period is not viable. To stay ahead in the market and make reliable and profitable insights, e-commerce analytics tools should be effective.

E-commerce Analytics

Program Cost

INR 12,000/-

Overview of E-commerce Analytics Course

With the majority of companies going online, brands are opting for a cloud-based commerce approach to deliver the best shopping experience to customers. Unlike previously, now the companies should provide seamless service across every touchpoint- social, mobile, web, and store. With the help of E-commerce Analytics, companies can track the online purchase activity of customers and can use pop-ups, gift cards, or discount coupons to re-direct the customers to their brand. With the 360DigiTMG E-Commerce Analytics program, you can learn to adopt tools that integrate with your unified commerce platform and can track and keep up with the rapidly evolving customer journey.

E-commerce Analytics Course Training Learning Outcomes

Machine Learning and Big Data Analytics have become game-changer in the E-Commerce domain. This Certification Program is a sui generis attempt to blend Machine Learning solutions for traditional customer retention problems and loyalty. Specifically designed to suit energy and resource professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to E-Commerce industry data. This E-Commerce Analytics course is meant for professionals from the E-commerce 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 to the energy and resource industry will be the prime objective of this content-rich program.

Work with various information sources
Analyse structured and unstructured data using different tools and techniques
Develop an understanding of descriptive and predictive analytics
Apply data-driven, machine learning approaches for HR functions such as attrition prediction
Understanding how surveys work and perform analytics on them
Use ML techniques to create a personalized experience for employees
Use data visualisation concepts to represent data for easy understanding

Block Your Time

hr analytics course - 360digitmg

16 hours

Classroom Sessions

hr analytics course - 360digitmg

20 hours

Python
Programming Videos

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

E-commerce Analytics Course Modules

  • This module introduces the topic of E-commerce
  • Examples like business expansion
  • Basic information on AI and ML
  • Introduction to the various stages of analytics and using an historical example of the various stages can help understand the steps involved in analytics
  • Discussion on CRISP-ML (Q)
  • Explanation on the importance CRISP-ML (Q) in various Data Science related projects
  • Explanation on unsupervised and supervised learning
  • Explanation on the training , validation and testing stages of supervised learning
  • Understanding right fit, underfit and overfit scenarios in supervised learning
  • Understanding Hyperparameter tuning in the context of overfit
  • This module covers the various steps of EDA
  • Discussion on the 4 business moment decisions in EDA
  • Discussion on univariate, bivariate, and multivariate EDA steps
  • Explanation of the various pre-processing steps involved in any Machine learning or Artificial intelligence project
  • Brief introduction to feature engineering
  • Re-cap of unsupervised learning in ML
  • Understanding of clustering in layman’s terminology
  • Understanding K-means clustering from a technical perspective
  • Understanding the usage of elbow curve and silhouette scoring to decide on the ideal number of clusters
  • Re-cap on supervised learning
  • Understanding of nearest neighbor in ML
  • Understanding KNN algorithm and distance metrics
  • Understanding of early stopping point in training phase
  • Explanation of the need for odd number of neighbors when classifying
  • Understanding the decision making process for humans and correlating to the topic of Decision Trees
  • Understanding the various components of a decision tree
  • Understanding the idea behind root node and how it affects the overall tree
  • Understanding entropy and information gain concepts of decision tree to make logical choices on root node
  • Usage of hyperparamter tuning to optimize the tree
  • Introduction to the concept of line equation
  • Correlation of line equation in ML terms
  • Understanding of correlation and its importance in Linear regression
  • Differentiating between the equations of SLR and MLR
  • Explanation on the OLS concept
  • Re-cap on the topics covered before
  • Understanding the importance of AI
  • Understanding the reasoning behind the concept of neural networks
  • Explanation on the perceptron algorithm
  • Introduction to multilayer perceptron
  • Understanding the concept of weight calculations
  • Brief intro in gradient descent
Tools Covered
E-commerce Analytics course using python
E-commerce Analytics training using r programming
E-commerce Analytics training using r studio programming
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E-commerce Analytics certification course - 360digitmg

Certificate

Earn a E-commerce Analytics Course certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in E-commerce Analytics Course Certificate is your passport to an accelerated career path.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

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Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

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Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

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Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

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Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

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Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

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Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology

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FAQs for E-commerce Analytics Training Program

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.

Jobs in the field of Analytics

Jobs in the field of Analytics

The HR department has to act like the bridge between the employer and the employee. One can work for various management positions in an organization like HR manager, Director of HR Training and Development, HR Generalist, Employee Relations Manager, Technical Recruiter, etc.

Salaries for Analytics Course

Salaries for Analytics Experts

An HR analyst may have to wear many hats in an organization wherein he may be responsible to collect data, aggregate data, analyze data, and process data to deliver valuable insights. The average salary of an HR analyst is 4,25,000 lakhs per annum in India.

Analytics Course Projects

Analytics Course Projects

The best way to build your knowledge is to work on live projects. There are various projects that one could venture into like Talent acquisition, employee career development, cybersecurity, retention, and compliance or studying the reason for the increased attrition rate in the company.

Role of Open Source Tools in Analytics Course

Role of Open Source Tools in Analytics

Programmers prefer open source tools because it helps them modify or improve upon the code. Many organizations have adopted tools of Analytics in a big way as they help them to analyze and visualize massive sets of Data. In this program, you will be exploring tools like R, RStudio, and Python.

Modes of Training for Analytics Course

Modes of Training for Analytics Course

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Analytics Course

Industry Application of Analytics Course

Analytics plays an integral role in making data-driven decisions and boosting ROI. Its applications are used in various fields of statistics, analysis, and employee-related factors like retention, workforce planning, employee development, engagement, and performance.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.

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