Empower your workforce with Qademy

Committed to Building Capabilities for Scalable Performance

Qademy is our flagship digital data science learning academy. The "Open" curriculum is designed to cater to your exact vertical-specific needs. With our digital learning academy, you stand to explore and master the concepts of data visualization, descriptive analytics techniques, data exploration, predictive analytics, and big data among others.

Several modules of quality content are offered based on 3 important levels: Basic, Intermediate, and Advanced, which in turn is ably supported by a strong team of offline mentors. Once the course is complete, we award you with a certificate consisting of the total credits achieved and personalized statistics revolving around course completion, test scores etc.

Using our methods, you can learn the latest technologies, varying from machine learning to Spark, Hadoop (Hive, Pig, and HBase), Social Network Analysis, Natural Language Processing, Multinomial Logistic Regression, Random Forests, Data Visualization, etc. If you have a whole team of employees taking part in the course, then we can easily integrate their activity with Human Resource Management tools and with mobile technology as well. Our engaging and interactive e-Learning courses are replete with content created to go through summative and formative evaluations

  1. Our Flagship Digital Data Science Learning Academy
  1. Our Related Offering
  2. Get Started & Engage

Key features

  • Qademy will primarily be a digital learning platform ably supported by classroom session.
  • Qademy provides a wealth of use cases, case-studies and hands on practice.
  • The content is customized to match the unique requirements of a specific domain. If you have a specific dataset, that you want us to customize the training program around. We can do that for you. This ensures, the training is relevant and relatable, unlike other generic online training modules.
  • The content is designed by mentors that are certified data scientists and practitioners of data science. Hence, a healthy mix of applied data science and academic concepts.
  • Modules within 'Qademy' prepares participants to take up global-level certification examinations. For e.g. after attending our Big Data and Hadoop program, participants are well prepared to take up global certification examinations from Cloudera and Hortonworks.
  • Our modules have a direct & a measurable impact on your key performance indicators.

About Qademy

Qademy is our flagship digital data science learning academy targeted at corporates. The curriculum is designed to cater to specific vertical-specific needs.

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Course structure

  1. Each level gets progressively more in-depth and technical
    1. Each level is made of multiple modules.
    2. Each of these modules has their respective exercise and quizzes.
  2. At the end of each level, there will be a certification examination.
  3. After passing the examination, you can move to the next level.

Curriculum is at the forefront of changes

Curriculum topics to include:

  1. Statistics & Probability
  2. Data visualization
  3. Exploratory Data Analysis
  4. Data Management
  5. Engineering Big Data with Hadoop
  6. Decision Modeling
  7. Methods & Algorithms in Machine Learning
  8. Text Mining, Social Network Analysis and Natural Language Processing
  9. Deep Learning
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A vibrant digital atmosphere for learners

  1. Modules by levels: Basic, Intermediate, Advanced

  2. Strong team of mentors for offline support

  3. Users receive a certificate with total credits achieved

  4. Personalised statistics (courses done, test scores etc.)

 

  1. User activity can integrate with HRM tools

  2. Integrate with Mobile Technology

  3. Engaging and interactive e-learning courses

  4. Content undergo formative and summative evaluations

Key benefits

  1. Re-skill workforce
  2. Flexible learning schedule
  3. Cost efficient
  4. Interactive and effective

Domain agnostic

Applicability across different domains

  1. Education
  2. BFSI
  3. Healthcare
  4. Retail
  5. Hospitality
  6. Telecom & Technolology
  7. Pharma
  8. Government

... and Other Domains