Bangalore is called the silicon valley of India. It has offices of major MNCs like Apple, IBM, Google, Cisco, Adobe, Accenture, and many more. More than 35% out of 2.5 million IT professionals are working in Bangalore. There are more than 700 research and development centers of the top MNCs in Bangalore. It has highly educated human resources. This makes Bangalore the best place to learn data analytics course.

The participants of the data analytics course get a certification of UNIMAS after successful completion of the necessary exam. Data analytics helps to analyze data in a quantitative and qualitative manner in order to draw logical conclusions and take meaningful decisions. Data analytics boosts current technologies like artificial intelligence and machine learning. The data analytics course covers a huge number of topics in detail related to the data analytics domain. These topics include data mining, collection, extraction, cleaning, exploration, transformation, integration, feature engineering, prediction models, data visualization, data modeling, data analytics tools, Tableau, R programming, Python programming language, text mining, natural language processing, hypothesis testing, statistical analysis, Big Data, Hadoop and its elements, predictive modeling, machine learning, deep learning, classifiers like decision trees, K nearest neighbors, naive Bayes, random forest with bagging and boosting, hierarchical clustering, k-means clustering, association rules, apriori algorithm, regression modeling, and more. The curriculum of the data analytics course covers almost all the recent advanced technologies and tools needed in the field of data analytics. It suits the professionals as well as freshers. Participants are also placed in MNCs like Accenture, Infosys, IBM, VMWare, and more after a successful completion of the course.

The expert faculty of ExcelR are alumni of IIT, Bits Pilani, and more renowned institutes. Some of them are pursuing their Ph.D. All of them have industrial experience of many years. This makes them the best faculty for the course. They teach the participants the exact needs and requirements desired by the industry. The course is available as per the participant’s convenience. The experts provide online classes as well as recorded sessions. JUMBO passes are available which enables the participants to watch all the recorded sessions by all the experts for one complete year as many times as needed.

The data analytics course covers a wide range of projects, covering real-life and real-time applications. All these projects are interesting and solve various problems related to data analytics. The first project is to identify illegal and fraudulent transactions in the trading of financial service insurance. It identifies and formulates rules that can protect data and identify insider traders. The second project helps to predict the deposits churn and reduce the risk of losing customers. It teaches how to make strategies to retain customers, maintaining funds in deposits, predict most probable customer to churn, make business strategies to segments of customers, predicting customers who will sustain funds and solutions to challenges faced by banks.

The third project of data analytics course is about understanding the sentiment analysis performed on Twitter’s unstructured data. This project is related to social media analytics. The genuine products and manufacturers suffer due to fake reviews and opinions given by false customers as a part of an unhealthy competition between brands. It drops the ratings of genuine products and companies go in loss. To save such companies, the trends and interaction of the audience with the product through twitter is analyzed and the proper decision is predicted. The fourth project is to study how to increase the click-through rate of Ads posted on websites. It helps the companies enhance marketing strategies. It gives results such as how many times your website is searched or appears in a search and how should you structure the first page.
The fifth project is again related to social media analytics. It analyses the political party representative’s data. It helps to protect the citizens from the misguiding and false claims made by representatives during election campaigns. The sixth project is human resource analytics. It is related to the retail organization. It helps a company to select the best candidate for profiles based on the data and past employment history of the candidate.

The seventh project is again related to the retail sector and deals with warranty claims. It will help to understand the factors associated with warranty and predict the probability that a customer will file for warranty. The eighth project is performance prediction for students and teachers. Mining techniques will be applied to the educational data to identify hidden patterns and knowledge about the performance of students and teachers. This will help to improve performance in the future by taking necessary corrective actions.

The ninth project is related to student school dropouts. By predicting the student dropout in a particular school, corrective actions can be taken to improve the quality of primary education. Project ten is making a chatbot. Based on the data of consumer queries, a chatbot is built which will answer consumer questions related to products and services just like a human.

Project 11 is related to business intelligence and reporting. It deals with gathering data from various sources for generating a report and drawing meaningful insights, devising important business strategies. Tableau will be used to visualize and process data in this project. Project 12 teaches the participants to generate a single report, incorporating various departments. This is done with the help of security settings on the server end.