Email Address info@fuzenit.com
Office Working Hrs Mon - Fri 9:00 AM - 6:00 PM
Contact Number 9949351714
Join Course

Practical Data Science and Artificial Intelligence Course

  • 100% Job Guarantee Program
  • INR 6.9 LPA Conditional Job Offer Letter From Reputed AI Company
  • Post Graduate Diploma From The State University Of New York
  • Pan India and International Placement Support
  • No Prior Coding Experience? No Problem!

data science & AI course reviews - 360digitmg

663 Reviews

data science & Ai course reviews - 360digitmg

3472 Learners

Eligibility

College Degree in STEM related fields – Science, Mathematics, Engineering, Software Technology and Business.

No programming knowledge needed. You will learn from scratch!

Who should sign up?

  • Those aspiring to be Data Scientists, AI Experts, Business Analysts, Data Analytics, Software Developers
  • Graduates looking for a career in Data Science, Machine Learning, Forecasting, AI
  • Professionals migrating to Data Science
  • Academicians and Researchers
  • Students entering the IT industry

What Do You Learn

  • Learn to create Python constructs for the purpose of performing analytics
  • Connect with varied databases using Python and execute queries through SQL & NoSQL
  • Get a grip of the fundamentals of Mathematics & Statistics that are pertinent to Data science
  • Acquire the skill required for executing Machine Learning algorithms (Supervised & Unsupervised) and gather insights from the outcome
  • Learn about Cloud Computing skills and run Machine Learning algorithms on Cloud
  • Unbox the black box, demystify the concepts around Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, etc.
  • Learn to use one of the most popular open-source distributed data platform to enable storage and processing Big Data using commodity Hardware
  • Learn about analyzing unstructured data including Images, Videos, Audio, Text, and how to draw insights from the same
  • Stay ahead by learning to use optimized forecasting techniques and the various method for the same
  • Work with Data Plumbing to ensure a continuous flow of the real-time and or batch data in Data systems to make real-time decision making
  • Map End-to-End Machine Learning Models on Microsoft Azure cloud services for scalable and ready to Market solutions on Big Data
  • Work with one of the most popular visualization and business intelligence tools, Power BI, to make state of the art presentations and analytics
  • Learn AutoML libraries & frameworks – both open source and commercial. This includes building End-to-End pipelines of data related projects

After Successfully completing the programme you should be able to

  • Have a firm grip on the fundamentals of Machine Learning, Deep Learning, Cloud Platforms, DevOps for Data Science, Big Data, Database Management (SQL, NoSQL), Business Intelligence and many more
  • Successfully contribute towards Data Analytics projects involving ML, Cloud Computing and Data Pipeline building
  • Lead team of Analytics professionals with myriad experiences and efficaciously deliver the client requirements with the final objective in mind

Synopsis of Practical Data Science and Artificial Intelligence Course

This program is designed for Graduates who are keen on leveraging on the Analytics Knowledge and the valuable PG diploma from the leading university of the US. This blended program over the best of a multitude of courses, explains in detail, without compromising on the content quantity or quality.

A typical participant will be exposed to the rigors of multi-platform training that will encompass live virtual classes, prerecorded lectures, interactive chat support, mentoring, projects (end to end capstone and mini projects), pre assessments, post assessment, quizzes, and much more.

The program is also suited for both new graduates as well as working professionals who are looking to catapult their careers into a much higher league with the knowledge base acquired.

Curriculum of Practical Data Science and Artificial Intelligence Course

Chart Your Career with Industry Specific blended Core Modules Designed for Expanding Job Roles

  • CRISP – DM - Project Management Methodology
    CRISP – DM - Project Management Methodology  Live Class
    Exploratory Data Analytics (EDA) / Descriptive Analytics
    Exploratory Data Analytics (EDA) / Descriptive Analytics  Live Class
    Business Statistics and Probability Distributions
    Business Statistics and Probability Distributions  Live Class
     
    Data Mining Supervised Learning – Regression Techniques
    Data Mining Supervised Learning – Regression Techniques  Live Class
     
    Data Mining Supervised Learning – Shallow Techniques
    Data Mining Supervised Learning – Shallow Techniques  Live Class
     
    Data Mining Supervised Learning – Tree Based Models
    Data Mining Supervised Learning – Tree Based Models  Live Class
     
    Ensemble Techniques - Tree and Non-Tree Based
    Ensemble Techniques - Tree and Non-Tree Based  Live Class
    Text Mining and Natural Language Processing (NLP)
    Text Mining and Natural Language Processing (NLP)  Live Class
     
    Introduction to Perceptron and Multilayer Perceptron
    Introduction to Perceptron and Multilayer Perceptron  Live Class
     
    Building Blocks of Neural Network - ANN, CNN and RNN
    Building Blocks of Neural Network - ANN, CNN and RNN  Live Class
     
    Kernel Method - SVM
     
    Kernel Method - SVM  Live Class
     
    Data Mining Unsupervised Learning – Clustering
     
    Data Mining Unsupervised Learning – Clustering  Live Class
    Data Mining Unsupervised Learning - Dimension Reduction (PCA)
     
    Data Mining Unsupervised Learning - Dimension Reduction (PCA)  Live Class
     
    Data Mining Unsupervised Learning - Association Rules & Recommendation Engine
     
    Data Mining Unsupervised Learning - Association Rules & Recommendation Engine  Live Class
     
    Network Analytics
    Network Analytics  Live Class
     
    Survival Analytics
    Survival Analytics  Live Class
    Forecasting/Time Series
    Forecasting/Time Series  Live Class
Data Visualization Introduction and Concepts
Data Visualization Introduction and Concepts  Live Class
Tableau Introduction and Tableau Architecture
Tableau Introduction and Tableau Architecture  Live Class
Exploring Data using Tableau
Exploring Data using Tableau  Live Class
Working with Data using Tableau including Data Extraction and Blending
Working with Data using Tableau including Data Extraction and Blending  Live Class
Various Charts in Tableau (Basic to Advanced)
Various Charts in Tableau (Basic to Advanced)  Live Class
Hierarchies - Tableau Drill Down and Roll Up Features
Hierarchies - Tableau Drill Down and Roll Up Features  Live Class
Sorting - Quick Sort, Sort from Headers, Legends, Axis, Tool Bar; Sort by Fields, Nested Sort
Sorting - Quick Sort, Sort from Headers, Legends, Axis, Tool Bar; Sort by Fields, Nested Sort  Live Class
Filtering - Dimension Filters, Measure Filters, Date Filters, Tableau Context Filters
Filtering - Dimension Filters, Measure Filters, Date Filters, Tableau Context Filters  Live Class
Groups, Sets and Combined Sets
Groups, Sets and Combined Sets  Live Class
Reference Lines, Bands and Distribution
Reference Lines, Bands and Distribution  Live Class
Parameters - Dynamic Parameters, Parameter Actions
Parameters - Dynamic Parameters, Parameter Actions  Live Class
Forecasting - Exponential Smoothing Technique
Forecasting - Exponential Smoothing Technique  Live Class
Data Mining Unsupervised Learning - Clustering
Data Mining Unsupervised Learning - Clustering  Live Class
Calculated fields in Tableau, Quick Table Calculations, LOD Expressions
Calculated fields in Tableau, Quick Table Calculations, LOD Expressions  Live Class
Tableau Mapping Features
Tableau Mapping Features  Live Class
Tableau - R Integration
Tableau - R Integration  Live Class
Tableau Interactive Dashboards, Dashboard Actions, Stories
Tableau Interactive Dashboards, Dashboard Actions, Stories  Live Class
Tableau Certification Orientation
Tableau Certification Orientation  Live Class

Industry Projects in collaboration with DERIVE

Learn through the “20 Most Promising Data Analytics Solution Provider of 2018”.

DERIVE provide customised and innovative solutions for the clients. The organisation is keen to support and encourage upcoming data professionals and they believe that the need for skilled data scientists in only going grow in the coming years. Fuzen IT in collaboration with DERIVE offers hands-on Internships to students where they can work on real world problems and solve real-world challenges.

Career Transition Stories

Lokesh

FUZEN IT has an exceptional team of instructors who supported and motivated me throughout my Data Science course. Coming from a statistical background, I was initially unsure about programming—but their hands-on teaching helped me build strong coding skills. The career support team guided me throughout my job search, and I secured two great job offers. This course truly elevated my skills. It’s one of the best investments I’ve made in myself—completely worth it

Industry Trends

  • 68% career Transition
  • The average starting salary for Freshers on "Data Sciences" Start from Rs 8.5L* PA
  • Average Hike for "Data Scientist" stands at 34% to 50%

Programming Languages & Tools Covered in

tesseract
tensorflow
tableau
python
powerbi
opencv
numpy
excel
jupyter
matplotlib
nltk

Our Alumni Work At

FAQs About Our Practical Data Science and Artificial Intelligence Course

Not necessarily. Many of our beginner-level courses are designed for freshers and non-IT students. However, for advanced programs like AI and Cybersecurity, a basic understanding of programming is helpful

Yes. All enrolled students receive lifetime access to course materials, resources, and updates even after completing the course.

You can reach out through our contact page, WhatsApp support, or visit our nearest branch for one-on-one guidance.

Trending Courses

Professional Certificate Courses

Domain Analytics

Emerging Technologies

©2019. Fuzen IT. All Rights Reserved.