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Data Science Professional
Are you ready to launch an exciting career in Data Science and Artificial Intelligence (AI)? Look no further! Our 6-month comprehensive course is designed to equip you with the skills and expertise needed to thrive in these cutting-edge fields.
With experienced trainers, high-quality content delivery, and a focus on practical learning, we are your trusted partner in achieving your career aspirations. Additionally, our course includes an industry-recognized Microsoft Azure certification, powered by Microsoft, giving you a competitive edge in the job market. Transform your passion into a profession and become a skilled data scientist or AI expert with us
Key Features
- 100% Job Assistance: Get end-to-end support through our in-house recruitment agency, partnered with over 250 hiring organizations.
- Industry-Recognized Certification: Earn advanced Data Scientist and AI credentials from Edtech informative
- Capstone Projects: Work on real-world projects across various domains to gain industry-relevant experience.
- Comprehensive Curriculum: A program tailored to kickstart your journey as a Data Scientist.
- Microsoft Training: Receive professional-level training directly from Microsoft.
- Microsoft Certification: Obtain an industry-recognized certification from Microsoft to enhance your career profile.
- Hands-On Learning: Access integrated labs to gain practical experience with real-world tools and techniques.
- Expert-Led Sessions: Participate in live classes conducted by experienced industry professionals.
- Lifetime Access to Resources: Enjoy unlimited access to self-paced learning content via our Learning Management System.
- Personalized Instruction: Small batch sizes ensure individual attention and customized learning experiences.
- Skill Enhancement Program: Complimentary self-paced certification courses to stay updated with emerging industry skills.
Why Join This Program?
Microsoft Advantage
Gain professional-level training directly from Microsoft, showcase your technical expertise, and earn a globally recognized Azure certification to enhance your career prospects.
Generative AI Expertise
Attend live sessions on cutting-edge AI topics, including generative AI, prompt engineering, and the latest AI tools, to stay ahead in the rapidly evolving tech landscape.
Hands-On Learning
Participate in live online classes conducted by industry experts, focusing on practical, applied learning. Complete capstone projects to build job-ready skills essential for the real world.
Comprehensive Placement Support
Benefit from 100% placement assistance through our dedicated in-house recruitment agency. With over 250 hiring partners, we boast an outstanding placement success rate of 80%.
Data Science Professional Course Learning Path
Boost your career with our leading data science and AI program. Master essential skills and demonstrate your expertise through our carefully designed learning path.
Advanced Program in Data Science Course Curriculum
- Module 01 – Introduction to Data Science using Python
- Module 02 – Python basic constructs
- Module 03 – Maths for DS-Statistics & Probability
- Module 04 – OOPs in Python (Self-paced)
- Module 05 – NumPy for mathematical computing
- Module 06 – SciPy for scientific computing
- Module 07 – Data manipulation
- Module 08 – Data visualization with Matplotlib
- Module 09 – Machine Learning using Python
- Module 10 – Supervised learning
- Module 11 – Unsupervised Learning
- Module 12 – Python integration with Spark (Self-paced)
- Module 13 – Dimensionality Reduction
- Module 14 – Time Series Forecasting
Machine Learning
- Module 01 – Introduction to Machine Learning
- Module 02 – Supervised Learning and Linear Regression
- Module 03 – Classification and Logistic Regression
- Module 04 – Decision Tree and Random Forest
- Module 05 – Naïve Bayes and Support Vector Machine (self-paced)
- Module 06 – Unsupervised Learning
- Module 07 – Natural Language Processing and Text Mining (self-paced)
- Module 08 – Introduction to Deep Learning
- Module 09 – Time Series Analysis (Self-paced)
AI & Deep Learning
- Module 01 – Introduction to Deep Learning and Neural Networks
- Module 02 – Multi-layered Neural Networks
- Module 03 – Artificial Neural Networks and Various Methods
- Module 04 – Deep Learning Libraries
- Module 05 – Keras API
- Module 06 – TFLearn API for TensorFlow
- Module 07 – DNNs (deep neural networks)
- Module 08 – CNNs (convolutional neural networks)
- Module 09 – RNNs (recurrent neural networks)
- Module 10 – Gpu in deep learning
- Module 11 – Autoencoders and Restricted Boltzmann Machine (RBM)
- Module 12 – Deep learning applications
- Module 13 – Chatbot