eCommerce Analytics

BY
Jigsaw Academy

Join the eCommerce Analytics course by Jigsaw Academy to master E-Commerce data analytics. Enhance your analytical skills and make informed business decisions.

Mode

Online

Duration

3 Months

Fees

₹ 24000

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

The eCommerce Analytics programme by Jigsaw Academy comprises all the essentials of E-commerce analytics, to help you learn how analytics work in this domain. The course curriculum consists of key E-commerce analytics lessons, including the digital economy, ClickStream Analytics, analytics processes, data analytics usage, customer targeting, market basket analysis, and more. 

Trained experts of the industry have carefully curated the eCommerce Analytics course curriculum to help you master E-commerce analytics and its numerous applications. Moreover, eCommerce Analytics programme also offers several features to provide you with a comfortable and interactive learning experience. The training consists of an online learning module with six months of content access. 

Upon satisfactory completion of the eCommerce Analytics by Jigsaw Academy, you will receive Jigsaw Academy’s certification as well, to help you proceed in this career path.  Candidates receive an easy ticketing system for technical and faculty support to clear their doubts, easy mobile app access, industry-related case studies, and data sets spread across numerous industries. 

The highlights

  • Online course
  • Programme duration of three months
  • Access duration 6 months
  • Faculty support for easy doubt clearance
  • Multiple industry-based case studies 
  • Convenient mobile app access to study on the go
  • Student counsellor sessions 
  • Certificate of Completion

Program offerings

  • Mobile app access
  • Technical support
  • Faculty support
  • Six-month access to content
  • Practical case studies
  • E-commerce analytics certification

Course and certificate fees

Fees information
₹ 24,000

The eCommerce Analytics course fee consists of the total programme fee and added taxes.

eCommerce Analytics Fee Structure

Training Option

Fee in INR

E-commerce analytics course

Rs. 24,000

GST

Rs. 4,320

Total Fee

Rs. 28,320

certificate availability

Yes

certificate providing authority

Jigsaw Academy

Who it is for

The eCommerce Analytics programme is the perfect fit for the students of analytics who want to pursue a career in E-commerce domains. Domain professionals who wish to give their current profile, a massive boost with prestigious skills in analytics should also opt for the course. 

Eligibility criteria

The eCommerce Analytics course by Jigsaw Academy requires interested candidates to have an elementary knowledge of statistics concepts including probability, central measures, normal distribution, and hypothesis testing. Candidates must also have hands-on experience with handling small data sets and MS Excel. A background in SAS/R/SPSS or other statistical software is required for this programme as well.

Certificate Qualifying Details

Furthermore, to be eligible for the eCommerce Analytics certification, candidates need to clear the certification exam. Applicants should appear for the certification test upon completing the course. Jigsaw Academy will provide you with the eCommerce Analytics certification within one month after you pass the test.

What you will learn

Analytical skills Machine learning Knowledge of big data

After completing the eCommerce Analytics programme, you will: -

  • Know the basics and workarounds of E-commerce data analytics to make insightful business decisions
  • Know and implement the analysis and reporting techniques to E-commerce domains and execute profitable business strategies
  • Take up analytical roles in an E-commerce domain
  • Enhance your current profile with industry-relevant analytics skills after completing the eCommerce Analytics course

The syllabus

Developments and E-commerce in the digital economy

A brief overview of ClickStream Analytics

Use of Data Analytics and eCommerce processes

Case Study – customer segmentation (no assignments)

Case Study – prediction of fashion adoption ( two non-graded case studies)

Case Study – conversion modelling (no assignments)

Case Study – optimising a B2C E-commerce organisation’s financial metrics (two non-graded case studies)

Case Study – using the past purchase patterns and demographic attributes of customers to target them effectively ( two non-graded case studies)

Case Study – analysing Market Basket for a Recommendation Engine ( no assignments)

Case Study – SKU optimizing (no assignments)

Career options in E-commerce analytics (a graded case study)

Big data and machine learning

Case Study – Quiz after completing the course (a graded case study)

Admission details

If you’re interested in undertaking the eCommerce Analytics course at Jigsaw Academy, follow these steps: -

  • Vvisit the official website of Jigsaw Academy
  • Once there, look for the “eCommerce Analytics” course option.
  • Select the course and you will be redirected to the course page.
  • On the eCommerce Analytics webpage, look for the Enroll Now button.
  • Click on it and you will be redirected to the fee payment page.
  • Confirm the fees and then press “Checkout” to proceed.
  • Now, select your preferred email to continue.
  • After you log in, fill in the phone number, email, name and submit the form.

Filling the form

To join the eCommerce Analytics programme, you need to share your name, phone number, and email address, confirm the fees and proceed to submit the application form. 

How it helps

The eCommerce Analytics programme by Jigsaw Academy primarily focuses on providing you with the key lessons and implementations of E-commerce analytics. As companies increasingly capitalise on E-commerce and its various applications, learning its core concepts is highly-beneficial for making profitable business decisions. The course, through its hands-on case studies, covers all the necessary aspects of E-commerce data analytics, providing you with an industry-based experience of data analytics. 

Moreover, the eCommerce Analytics course is a stepping stone for individuals who are already domain professionals and want to make their resume better with analytics skills, or analytics students who wish to divert into E-commerce-based domains. With mobile app access, interactive faculty support, and relevant case studies of several industries, the course will help you quickly learn about eCommerce Analytics. 

FAQs

What is the future of E-commerce analytics?

As customers continue to shop online increasingly, the world of E-commerce seems to be booming with newer metrics and tools for higher profits. Hence, E-commerce analytics has a bright future as companies will continue to invest more in these analytics for profitable business decisions.  E-commerce analytics can help them scale faster. 

What does an E-commerce analyst do?

The typical jobs of an E-commerce analyst include analysing trends in consumer purchase patterns, online sales reports generation, and evaluation of changes in the various markets of online retail.

Do I need any prior qualification to learn E-commerce analytics?

Jigsaw Academy’s programs are designed for students of all backgrounds, irrespective of their prior qualification in niche concepts such as analytics, coding, or statistics. However, the e-Commerce Analytics programme is an advanced course, and thus requires prior knowledge in MS Excel, statistics, SPSS, R, SAS, or other statistical software. 

What is the E-commerce Analytics programme structure?

The eCommerce Analytics course is a three months program with six months of access to all the course material. The curriculum includes numerous industry-related case studies, critical concepts of E-commerce data analytics, and a quiz. 

How can I learn more about Big Data, IoT, or machine learning?

You can check Jigsaw Academy’s “Explore Analytics” page or “Analytics Training Blog” to access more reports, content, and in-depth material on these topics. 

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