Executive Course in Digital Marketing
Master Course in Digital Marketing
A brief synopsis that will show you a quick breakdown of the Digital Marketing avenue.Learn the various aspects of online marketing and understand the basic concepts of digital mediums.
An in-depth look into creating a website from scratch. Get to know about both aesthetic and functional principles, of developing a website by working on live projects.
SEO stands for Search Engine Optimization. It is the practice of improving the quantity and quality of traffic to a website via organic search engine results.
Web Analytics is the process of measuring, extracting, analysing and reporting of web data to understand and optimize web usage in the most effective manner.
Content Marketing is the process of creating and sharing online content (such as blogs, videos, and social media posts) that does not explicitly promote a brand but helps in generating interest in its products or services.
Search engine marketing (SEM) is a method of Internet marketing by promoting a website. This is done by increasing its visibility in search engine results pages (SERPs) mainly through paid advertising.
Social media marketing (SMM) is the method of promoting a product or service through websites or via social media platforms. Thus also cultivating a positive view of the brand.
WhatsApp Marketing refers to the process of advertising and marketing by using the free messenger app WhatsApp. Web Chat on the other hand refers to any business or servicing interaction had over an online chat.
Email marketing is the method of sending a commercial message, typically to a group of people, using email. You could also say that every promotional email sent to a potential or current customer falls under email marketing.
Mobile marketing is an interactive multi-channel promotion and branding of products or services via mobile phones, devices, smartphones and networks.
Influencer marketing involves endorsement and merchandise placement via social media influencers and organizations who have an expert level of data or social influence on their respective platforms.
Affiliate marketing is a marketing method through which businesses reward their affiliates marketing efforts. This is based on every visitor or customer brought by the affiliate.
E-commerce (Electronic Commerce) is the practice of electronically buying or selling of products via the Internet while Drop Shipping is a supply chain management method. The retailer will not keep goods stocked, however they will give the details of the customer's orders to either a wholesaler, manufacturer or another retailer, who then ships the goods directly to the consumer.
Media Buying and Planning is the process by which marketers determine where, when, and how often they will run an advertisement in order to maximize engagements and ROI.
Business Statistics With R
Business Analytics with R
Executive Course in
Masters Course in
Data science is an interdisciplinary field that utilizes logical strategies, procedures, calculations and frameworks to separate information and experiences from structured and unstructured data.
Statistics is the basic building block to be able to quickly learn advanced analytics and machine learning. It develops a deep understanding of statistical concepts.
Data mining and problem solving focuses on the ideation and approach selection for solving a business problem. It covers working with business datasets to explore and get answers to business questions leveraging data mining and data exploration techniques. Covers the art of solving a client problem by slicing dicing the data to answer relevant questions for decision making.
Data visualisation covers the art of storytelling through data exploration and business intelligence and representing data through easily readable visualization reports. Data visualisation becomes a key tool for quick decision making by looking at key business KPIs.
SQL programming helps in data manipulation using business intelligence tools. SQL /BI becomes an enabling medium for bigger data exploration and creating datasets for running machine learning models. Business Intelligence also is used for answering business questions through customised data exploration.
R programming fundamentals helps in exploring the datasets using R tools. R programming helps with exploratory data analysis and preliminary data wrangling methodologies before running ML models. R is also used as an open source tool for analytics and also allows creating data visualisations.
Machine learning with R module enables the user to learn implementing advanced machine learning models using R and deploying the models for future utilisation by business.
Python programming fundamentals helps in exploring the datasets using Python as a tool. Python programming helps with exploratory data analysis and preliminary data wrangling methodologies before running ML models. Python is also used as an open source tool for analytics and also allows creating data visualisations.
Machine learning with Python module enables the user to learn implementing advanced machine learning models using Python and deploying the models for future utilisation by business.
Instead of just learning to implement and develop models, Machine learning theory covers the intrinsic statistics behind the models. It enables a thorough understanding of Machine learning concepts. Learning the statistical concepts behind the models is a key differentiator in the job market.
Covers understanding of Deep learning concepts with introduction to Tensorflow, Keras and Neural network concepts. Enables the user to develop some cutting edge AI models such as Image recognition, text prediction, etc.
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