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Home / Analytics Specializations / Retail Analytics Course
Certificate Program in
Calendar-for-Virtual Interactive Classes
Start Date
Total Duration
1 Month
Prerequisites
The Retail Analytics course is designed for individuals who want to foster in the Retail Industry. This course helps students to analyze the data and draw valuable insights by which companies will gain a competitive edge. The Retail Analytics course covers important topics that include RSCA process, Sentiment Analysis, Google Analytics, NLP, Recommendation systems, Deep learning concepts, Text Analysis and Behavioral Analytics of customers. Furthermore, this course helps students to make data-driven decisions and build innovative solutions in the Retail Industry.
360DigiTMG provides the best training in Retail Analytics with a meticulously framed curriculum. The curriculum of the course introduces and explains in detail all the prominent topics and techniques in the Retail Industry. This course will enlighten on topics like the Introduction of Analytics in Retail, Sentiment Analysis, and many more which helps students to derive insights from the data and build new strategies that help companies to escalate the production and generate revenue.
Block Your Time
16 hours
Classroom Sessions
24 hours
Assignments
Live Projects
Who Should Sign Up?
The Retail Analytics course offered by 360DigiTMG helps students to gain valuable insights and make data-driven decisions. The course curriculum is designed by industry professionals focusing on prime concepts. From this course, students will learn the applications and possibilities of the Retail and Supply chain and also learn about the applications of IoT. Learn the applications of Segmentation and will be able to build strategies from the segregated data. Students will learn how to build recommendation engines for any e-commerce portal. Learn the concepts of the usage of NodeXL and also learn to generate word clouds to perform sentiment analysis to draw meaningful insights using an R programming language. Students will be introduced to learn about how to use linear regression in understanding increasing paid ads performance. Also, you will learn about the various keywords used in contemporary customer analytics. At the end of this topic, you will learn how to keep your customers engaged with the utmost satisfaction. Learn how to address frequently asked questions with the latest information pulled out from the database. Understand how the context can be addressed using NLP concepts, using voice to text and text to voice models. Learn how machines (computers) see an Image or a Video input using Computer Vision. Process the images and videos using CNN to develop AI applications in capturing the customers' purchasing behaviour. Face recognition systems to identify a repeat customer from a new customer. The curriculum includes real-time projects and numerous assignments which helps the students to understand concepts thoroughly. It helps students to gain in-depth knowledge and required skill sets to grab lucrative jobs in the Retail Industry.
Get about, CRISP - ML(Q) the perfect Project Management Methodology used for handling Data Mining projects. Understand the entire process flow including Business Problem definition, Data Collection, Data Cleansing, Feature Engineering, Feature Selection, Model Building, Deployment and Maintenance. Get introduced to the principles of big data and learn about the opportunities being created. Understand about how Data is generation and explosion of data, Innovations in the space of analytics. Learn how to distinguish between data types, Exploratory data analysis, the Various moments of Business decisions and various Graphical techniques. Learn about probability and probability distribution namely Z distribution and Student's t-distribution.
Learn about Hypothesis testing, the many Hypothesis testing Statistics, work with the Null Hypothesis & Alternative hypothesis and Types of hypothesis testing. Interpret the results of Hypothesis test and probabilities of Alpha error, understand Type I and Type II errors. Get introduced to Linear regression, various components of Linear regression viz regression line, Linear regression equation, the concept of Ordinary Least Square. Get introduced to Linear regression analysis, and Linear regression examples
Understand the Linear regression in a multivariate scenario, understand collinearity and how to deal with it. Get introduced to the analysis of Attribute Data, understand the principles of Logistic regression, Binary Logistic regression analysis. Learn about the Multiple Logistic regression, Probability measures, and its interpretation. Get clarity on the confusion matrix and its elements. Get introduced to “Cut off value” estimation using AUC and ROC curve, understand False Positive Rate, False Negative Rate, Sensitivity, Specificity. Gain a birds-eye view to various advanced regression techniques and analysis of count data namely Poisson regression, Negative binomial regression. Learn when to use Poisson regression and negative binomial regression for predicting count data.
At the end of this topic, you will learn about the applications & possibilities in the space of Retail & Supply Chain. You will also learn the possibilities of IoT applications in general and in particular in Retail & Supply Chain. Also, the analytics-driven landscape of digital marketing analytics in the space of Retail is explained in detail.
At the end of this topic, you will learn about the applications of Segmentation. You will learn about the techniques used to measure the similarity between the records. Understand how organizing and managing the entities (Products/Customers) will become so much easier and beneficial. You will learn the strategies that can be applied to segregate the data.
At the end of this topic, you will learn how to build a basic recommendation engine for any eCommerce portal. You will be able to appreciate the various strategies involved in building a recommendation engine to make the organization profitable. It will be a blend of theoretical concepts & usage of R programming to accomplish this practically.
At the end of this topic, you will learn how to ensure the rack placement, slotting fee, marketing & distribution fee. Increase the purchases by offering bundling fees & the discount strategies will be discussed. How to analytically determine the products getting sold together will help strategize the increase in sales. It will be a blend of theoretical concepts & usage of R programming to accomplish this practically.
At the end of this topic, you will learn how to effectively use the travel routes by the logistics firms to ensure that the goods are transported faster. How many warehouses should be placed & at what distance & at what locations to be most profitable? Also, this can be extended to the use of social media to improve brand awareness. It will be a blend of theoretical concepts & usage of NodeXL to accomplish this practically.
At the end of this topic, you will learn how to deal with unstructured textual data. You will be able to generate word clouds & also perform sentiment analysis to draw meaningful insights. You will be able to perform analysis on social media data (Twitter) by extracting the tweets using R. You will be able to extract topics for performing Natural Language Processing. It will be a blend of theoretical concepts & usage of R to accomplish this practically.
At the end of this topic, you will learn how to track the various metrics such as the number of people visiting the website, time spent on each page or product, navigation path followed by user leading to sales. You will learn about how to use linear regression in understanding about increasing paid ads performance. Also, you will learn about the various keywords used in contemporary customer analytics. It will be a blend of theoretical concepts & usage of Google Analytics & R to accomplish this practically.
At the end of this topic, you will learn how to keep your customers engaged with the utmost satisfaction. Learn how to address frequently asked questions with the latest information pulled out from the database. You will learn how revenue increases by the application of Chatbots. Understand how the context can be addressed using NLP concepts, using voice to text and text to voice models.
At the end of this topic, you will learn how to keep the unstructured data using Deep Learning concepts. Learn how machines (computers) see an Image or a Video input using Computer Vision. Process the images and videos using CNN to develop AI applications in capturing the customers' purchasing behavior. Face recognition systems to identify a repeat customer from a new customer.
Many retailers started adopting Retail Analytics immensely as they have realized that they bring significant returns. Here is the curated list of the latest Retail Analytics trends that are going to transform industries in near future. These trends help companies to gain in-depth insights and will replace inefficient data management tools and in-house approaches. Further, these trends will help companies to be more responsive, agile, and build new strategies. Omnichannel experience is one of the latest trends in Retail Analytics. The companies in the retail industry should be able to bridge a gap between online and in-store platforms. The company’s objective should be to enhance the customer shopping experience and manage the availability of the required products. Furthermore, customer-centric models will help the companies to imbibe online platforms to offer the omnichannel experience to their customers. The personalization concept is trending now. Companies are coming up with innovative offers and sales to attract new customers and target specific location customers.
This concept helps companies to retain their customers by engaging them with quizzes, interactive sessions, videos, and apps. Predictive Analytics is one of the key trends in Retail Analytics. By analyzing the historical data, companies can predict the future or unknown events. It will enable companies to enhance their supply chain operations. By predictive analytics, companies can know the climatic conditions, local programs, and other conditions that will affect business. So based on the data they can plan accordingly and release the products. This will reduce inventory, increase the lifetime of the customer, and operations costs. Dynamic Pricing is considered to be the most important trend in Retail Analytics. This model helps companies to design their price structure based on the demand for the products, market, and competitors’ strategies. This will also enable companies to improve customer loyalty and satisfaction. So, there is tremendous scope for Retail Analytics in providing a wide range of opportunities in different sectors.
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+60 19-383 1378
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Bharani Kumar Depuru
Sharat Chandra Kumar
Bhargavi Kandukuri
Get validation of your advanced skills and knowledge with the Retail Analytics certificate. Join the growing community of developers and data scientists trained on Retail.
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Alumni Speak
"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."
"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
Nur Fatin
Associate Data Scientist
"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”
Thanujah Muniandy
"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
Ann Nee, Wong
"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
Mohd Basri
"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Ashner Novilla
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And more...
No, one does not need any specific qualification but a background in math or programming will come in handy.
Yes, you will receive a completion certificate from 360DigiTMG and it holds immense value in the market.
Yes, we have our own LMS called AISPRY, it has all the valuable learning material accessible to our students at any time.
Yes, to ensure the concepts are crystal clear to the students we have individual as well as group assignments under the guidance of a mentor who helps students at every stage of the project.
Yes, we have the provision of easy monthly installments where can have to pay a fixed amount every month.
Yes, we provide 100% job assistance and also help you with your resume building and conduct several mock sessions for interview preparations.
Yes, we have both classroom and online classes to facilitate the needs of students as well as working professionals.
The job roles include Retail Analyst, Business Analyst, Quality Analyst( Retail), Senior Business Analyst, Data Analyst (Retail), and so on.
Many ongoing projects are being carried out with Retail Analytics tools that include Price Optimisation, Powering augmented reality, Customer sentiment Analysis, Inventory management, and many more.
R and Tableau are the most important programming tools to gain in-depth knowledge in Retail Analytics. Many strategies are built leveraging these tools.
360DigiTMG offers training in both modes. Classroom sessions and online interactive sessions with flexible timings. A dedicated team of mentors will guide the students throughout their learning journey.
Every sector relies on the applications of Retail Analytics for its growth and to stay ahead of the curve. Industries like Banking, Textiles, Telecommunications, Manufacturing, Software companies and many more adapt Retail Analytics.
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.
Student Voices
4.8
I still remember going through websites for the Data Scientist course and reading reviews. That's when I finally found 360DigiTMG. Today, I will consider 360DigiTMG as the best one because it has offered me way more than any other training institute can do: Incredible curriculum, instructors, mentorship, and most job search skills and interviews best practices. One of the best decisions I made, I strongly recommend the Data Science program at 360DigiTMG to anyone looking for a Data Scientist/Analyst role. I am happy to announce that presently I am deputed as a Specialist Data Scientist at one of the top MNC.
I attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
I joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
The courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
I worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
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Class Schedule
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Benefits
Choose from programmes specially curated to suit each professional’s training needs.
6 Months
In Demand Work Integrated Learning Program (WILP)
The application fee is waived off, if you apply today!
Dive deep into analytics and transform your career in just 6 months.
Elevate your data insights and seamlessly transition from learning to working.
Offer ends on 22nd Dec, 2023
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