Rapidminer/Tableau

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About the Program

RapidMiner and Tableau are both powerful tools in the realm of data analytics, but they serve different purposes and are often used in conjunction to provide end-to-end solutions.

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  • Possibilities of International Exposure.
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Let's take a closer look at each

RapidMiner

Purpose

RapidMiner is an open-source data science platform that provides an integrated environment for data preparation, machine learning, and advanced analytics. It allows users to build and deploy machine learning models without extensive programming knowledge.

Key Features

Data Preparation: RapidMiner facilitates data cleaning, transformation, and integration, allowing users to preprocess data before analysis.

Machine Learning: It offers a wide range of machine learning algorithms for classification, regression, clustering, and more.

Automation: RapidMiner supports automated machine learning (AutoML), making it easier for users to find the most suitable models for their data.

Scalability: It can handle large datasets and is scalable for use in enterprise settings.

Use Cases: RapidMiner is often used in predictive modeling, data mining, and advanced analytics. It is suitable for users ranging from data scientists to business analysts.

Tableau

Purpose

Tableau is a data visualization and business intelligence tool that allows users to create interactive and shareable dashboards. It connects to various data sources to visualize and explore data in a user-friendly manner.

Key Features

Data Visualization: Tableau provides a range of visualization options, including charts, graphs, maps, and dashboards, to help users gain insights from their data.

Data Connectivity: It can connect to a variety of data sources, including databases, spreadsheets, and cloud services.

Interactivity: Tableau's interactive features enable users to explore and analyze data dynamically, fostering a more intuitive understanding.

Storytelling: Users can create compelling data stories by combining visualizations into a narrative format.

Use Cases: Tableau is commonly used for creating reports, interactive dashboards, and data storytelling. It caters to a broad audience, including business analysts, executives, and decision-makers.

Integration

RapidMiner and Tableau can be integrated to create a comprehensive data analytics solution. RapidMiner can be used for data preprocessing, machine learning model building, and predictive analytics. The results from RapidMiner can then be exported or connected to Tableau for visualization and business intelligence reporting. This combination provides users with a robust end-to-end analytics pipeline.

Selection Criteria

Choose RapidMiner if: You need advanced machine learning and predictive analytics capabilities. Automation in machine learning model selection and evaluation is crucial. You want to work extensively on data preparation and modeling within a single platform.

Choose Tableau if: Your primary focus is on data visualization and creating interactive dashboards. You want to provide easy-to-understand insights to a broad audience. You need to connect to various data sources for reporting and analysis.

In summary, RapidMiner and Tableau serve different stages of the data analytics process. RapidMiner is more focused on data preparation and machine learning, while Tableau excels in data visualization and business intelligence reporting. The integration of both tools can provide a comprehensive solution for organizations looking to leverage the strengths of both platforms.

How to Apply

In order to pursue this program, the students can talk to our counceller or use links below for further details:

Student Speak

Dhruv Tripathi

I am delighted to say that the faculties and the staff has helped me to achieve these dreams. Here, I not only had the chance to develop on my technical skills but also on other aspects such as Leadership & Management skills.

Saswati Pattjoshi

⁠I am very thankful to the department faculty and the placement cell that helped me achieve this while guiding me at every stage. My experience with the placement procedure was really great as I got to learn a lot. The placement cell is very well versed about each step.

Satyam Shekhar

⁠It is a great experience being at DBSGU. Our CDC department has helped a lot during the process of placement. They make sure that each student is well prepared for the interview.

Jyoti Nainwal

I am really thankful towards our college and placement cell, for supporting and providing us opportunities to learn interview skills, communication skills and guiding us in placements. The staff was supportive and informed us with enough notice regarding every placement drive.

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Placements Enjoy Everyday while
Ensuring Great Career

At DGU each student gets the opportunity to appear for more than 250+ companies each year and each student is able to get the optimum placement deserved. The maximum take home salary has been Rs. 20.5 Lakhs & CTC 23.5 Lakhs. Based on the intensity of training and exposure involved in the management program chosen by students at DBSGU, they are offered positions ranging from Mid-level Manager, Functional Expert, Consultant (Entry Level), Entry Level Managerial and Domain Trained positions.

Interested in this program? Talk to counsellor @ +91 7259162060
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