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Applied Data Science and Machine Learning Program

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Starts on

June 26,2021

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Duration

10 Months

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Location

Virtual

Interested in exact details about the program?

About Analyttica

Contextual Analytics and AI Solutions Company

Analyttica Datalab Inc. is an Analytics and AI platform solutions company. With a strong focus on the EdTech space, Analyttica is determined to bridge the gap due to unavailability of experienced talent in analytics & AI.

Analyttica was founded in 2012 by global Analytics leaders, who have a world-class reputation and decades of experience in building contextual Data Analytics talent capabilities and solutions across 25+ countries for one of the largest multi-national banks in the world. Analyttica operates at the confluence of ‘Industry Experience’, ‘Analytical Expertise’, and ‘Technological Excellence’. Its simulation-based contextual approach is unique and innovative that thrives on a structured ‘Man-Machine’ blend for creating sustainable learning and robust business integrated solutions.

Essence behind our EdTech Focus

85% of the technology enabled companies globally have a data strategy; about 77% of them have implemented some form of analytics & AI tools/technologies. However, only 31% of them have been able to demonstrate RoI, and less than 13% have been able to operationalize analytics & AI into production.

There are three primary reasons for above:

  1. Lack of a powerful technology enabled environment enabling business purpose integration/contextualization.
  2. Process breakage mitigation that occurs in Value-Chains, Workflows, Planning, and Work Cross-Leverage.
  3. Lack of experienced talent with the right skills to apply and collaborate in a business contextual manner, with ability to institutionalize themselves.

Analyttica, with it’s innovative EdTech solution called Analyttica TreasureHunt® LEAPS for upskilling in the analytics and data-science space focusses on the third aspect of above to address the acute shortage of the right talent, with a strong organizational need across industry verticals to hire and onboard talent with the right education and practical skills to apply analytics & data science to create business impact.

The LEAPS Platform

Analyttica TreasureHunt® LEAPS is a holistic upskilling platform driven by a unique, cohesive “Learn-Apply-Solve” framework. This innovative solution provides application-oriented immersive and interactive learning experience with extensive real-industry courses, cases, datasets and projects. It also ensures a blended pathway between industry and academia through simulation and contextualisation.

The technology and design behind LEAPS, is patented in USA (Patent # 9,886,867 ) for invention in education/learning pertaining to analytics and data science applications.

LEAPS’ Training & Knowledge Immersion solution helps organizations and universities, and learners in the B2C space step-up in leveraging the benefits of analytics and data science applications contextually via an innovative platform/engine for experiential learning, gamification, and a holistic platform for upskilling and re-skilling.

Key features of LEAPS

  • Innovative experiential learning
  • Structured courses for industry readiness
  • Ability to upload one’s own data and create projects
  • Ability to convert real projects to simulations/ institutionalising all knowledge
  • Innovative, personalised and gamified UX/UI

LEAPS Traction

  • 200K+ Data Science enthusiasts on LEAPS (since launch in April 2020).
  • Course completion rate of 52%, 2.5X of industry benchmark.
  • One of the largest conglomerates in India uses LEAPS to address their Analytics Upskilling needs.
  • Leading partner for the government of India backed ambitious skilling initiative called NASSCOM FutureSkills.
  • Large Healthcare company in USA uses it for solutioning and learning.

LEAPS 10 MONTH PROGRAM

Right blend of instructor led & self paced

  • The program is catered to professionals with 2-6 years of industry experience who aspire to start or grow their career in analytics & data science space
  • Carefully designed and curated by industry experts and academicians, this program is application oriented and highly contextual
  • The program will be delivered through LEAPS offering a highly effective blend of instructor led and self paced format
  • The candidates selected for the program gets life-time FREE access to the LEAPS platform, a precious asset to have hands-on access to get skilled and be abreast with the new developments in analytics & AI

Program Overview

Program designed to enable a “Learn-by-Doing” approach to foster industry readiness

  • Horizontal applied learning through data case-based curriculum; hands-on practice via both point-click and coding; aided by learning videos, reading materials, access to professors, and structured mentorship.
  • Virtual coding lab to build and implement/showcase one’s ML based solutions; Practice on LEAPS’ cloud-based platform that enables faster learning, collaboration, and competitive hackathons.
  • Industry vertical exposure across Banking, Retail, Manufacturing, etc.
  • Industry standard virtual assessments and long-term platform access to enable one’s analytics & AI journey.
  • Career assistance via portfolio showcase and recruiter interface; Social Recognition and Personal Brand Creation.

Components of the Program

  • Virtual
    The program is delivered in an online format with a highly effective blend of weekend live sessions followed by self-paced practice sessions spanning across 10 months
  • Experiential
    More than 50 industry standard data cases from across industries to be used for applied learning.
  • Collaborative
    The LEAPS platform enables learners to collaborate on projects, helping them perform better in teams.
  • Academic/Industry Leaders Interactions
    40 live sessions planned with Academic and Industry leaders for detailed and application-oriented learning.
  • Milestone based Learning
    Entire curriculum is divided into three manageable learning blocks to help the learner reap benefits in an incremental manner. Separate certificate for each block, followed by a certificate for the overall program
  • Hackathons and Developing live Projects
    The learner will get the opportunity to participate in live Hackathons and develop cutting edge ML solutions under the guidance of experts and implement those, with the opportunity to develop and showcase a portfolio of projects and solutions

Program Outline

The program is divided into 3 learning blocks of approximately 12 to 15 weeks each, to enhance the depth and breadth of contextual learning.

Upon completion of each block, the learner would receive a completion certificate, marking a milestone of the overall progress, and followed by a live Hackathon.

Live hackathons are included in the first two learning blocks

Learning Block 1
Foundations of data science, statistics and Python programming, feature engineering and basics of supervised ML

Learning Block 2
Foundations of Machine Learning – Supervised and unsupervised ML, ensemble models & NLP

Learning Block 3
Foundations of Deep Learning and Domain Exposure (in BFS, Retail and Manufacturing), building ML based solutions

Panel of Instructors

Tenured Academicians and Industry Practitioners

Learner Profile & Requirements

  • Engineers / Associates / IT Professionals:
    Software engineers in IT/ITES, Startup teams building ML products/services.
  • Managers:
    Product managers, Program managers, General Managers, etc. interested in improving their analytical skills and effectively managing analytics, data science and machine learning projects.
  • Data Analysts / Business Analysts / Data Scientists:
    Who want to transition to or progress into data science/ analytical roles and become more efficient and effective in data-driven decision-making.
  • Consultants:
    Who are driving client projects and looking for acquiring and honing cutting edge analytical and data science skills for a career transition or progress

Requirements:

  • 2 –6 Years of work experience
  • Bachelor's/Master's degrees.
  • Commitment for Hands-On/Lab effort of 8-12 hours per week throughout the program

Key Benefits from the Program

  • Learn from basics of Data Science & Python Programming to Advanced ML.
  • Build and Apply: Develop the ability to translate business problems to analytics & ML problems and develop impactful solutions.
  • Interact with Academic Experts and Industry Practitioners and get mentored – Train on detailed concepts and the nuances of solutioning.
  • Reduce learning curve and be Industry Ready: The in-built Analytics and AI functions of the platform will reduce the learning curve and help to focus more on solutioning rather than just programming.
  • Dynamic Collaboration: The Collaboration features of the platform will enable to form teams, develop effective solutions and become better team players.
  • Regular Hackathons: Compete & apply learnings under strict timelines and achieve tangible recognition/personal brand in the Data Science community.
  • Build and showcase cutting edge ML solutions using the LEAPS platform, with long term access to learning content/platform.
  • Industry standard assessment tests and long-term access to material will enable one’s Data Science journey, even after the program completion.
  • Access to Recruiters: Analyttica’s partnership with India’s leading job portals/Recruiters will help you in position yourself well in the market.

Trainer/Mentor Role

Trainers/Mentors significantly contribute towards enhancing the value of the program by playing the below roles in every step of the learner’s journey throughout the program

  1. Conduct the live sessions:
    • Academic sessions to explain concepts.
    • Case Study sessions to demonstrate application of concepts.
  2. Mentor learners through their program journey:
    • Help learners develop a learning path in Data Science and ML.
    • Help learners build an effective ML project portfolio and guide them for the job interviews.
  3. Closely involved with designing, creating, curating, carefully reviewing, and enhancing the contents

Curriculum Details

Program Commencement (1 Week)

  • Essence of the Platform
  • Overview of the Program
  • Usage of the LEAPS platform to develop content and/or case studies.
  • Industry & Market Perspective

Learning block 1

Foundations of Data Science and Machine Learning (15 Weeks)

End of module assessment and Hackathon

Learning block 2

Machine Learning and Natural Language Processing (13 Weeks)

End of module assessment and Hackathon

Learning block 3

Deep Learning, Industry Domains and Projects (12 Weeks)

End of module assessment

Sample Certificate on Completion

Final Certificate

Sample Contextual Projects/Case Studies

Retail/Etail

  • Market Basket Analysis in Retail - Application of Association Rule Mining Technique
  • Customer Sentiment analysis for an e-commerce retailer
  • Predict Holiday Sales for A Retail Client - Application of Linear Regression

Banking & Financial Services

  • Analyze Credit Card Spend Data - Application Of Descriptive Analysis Techniques
  • Identify risk class and eligibility of a customer : Application of Machine Learning
  • Identify Customers with Higher Likelihood of Credit Card Attrition - Application of Decision Tree
  • Build a Regression Tree for Predicting Spend on Credit Card

Healthcare

  • Detection of Breast Cancer in A Clinical Trial - Application Of SVM
  • COVID-19 Data Exploration & Visualization

Human Capital

  • Application of Non-Hierarchical Clustering in HR Analytics Domain
  • Recognizing human activity - An application of supervised machine learning

Manufacturing

  • Estimating Price for Diamonds - Supervised Learning -Hyperparameter Optimization
  • Predictive maintenance of equipment data - Building predictive models using sensor data

Sports

  • Identify the Top Performing Players in a Domestic Cricket League - Application of Descriptive Analysis Techniques
  • Fantasy Cricket Team Creation - Application of Linear Programming