I took theses Projects Based Courses to Build Industry aligned Data Science and ML skills
You must take these...Course completion certificate as well.
Hi All,
With the overwhelming abundance of courses available on the internet, it's crucial to discern the gems from the clutter. That's why we've taken the time to meticulously curate a comprehensive list of the most essential courses that are an absolute must for anyone traversing the realms of Data Science and Machine Learning.
Let’s get started —
Complete Data Engineering:
Rating - 10/10
Link to the course : https://bit.ly/3A9oVs5
Learn the art of designing effective data models that ensure data integrity and efficient storage.
Construct data warehouses and data lakes to enable centralized and organized data storage.
Automate data pipelines to streamline data processing and ensure timely and accurate data availability.
Gain expertise in handling and working with massive datasets efficiently.
Become a proficient data engineer equipped with in-demand skills for building robust data infrastructures.
Complete Machine Learning Engineer:
Rating - 10/10
Link to the course : https://bit.ly/3Tir8ub
Acquire advanced machine learning techniques and algorithms to solve complex problems.
Develop skills in packaging and deploying machine learning models to production environments.
Master the art of model evaluation and selection to ensure optimal performance.
Learn to implement cutting-edge algorithms and architectures for superior machine learning results.
Equip yourself with the skills required to excel as a machine learning engineer.
Complete ML DevOPs
Rating - 9/10
Link to the course : https://bit.ly/3OPPUS6
Data Pipeline Expertise: Learn to construct and manage efficient data pipelines, ensuring seamless flow from collection to analysis.
Experimental Proficiency: Develop skills to design controlled experiments, collect and analyze data, vital for evidence-based decision-making.
Personalized Recommendations: Build recommendation systems using cutting-edge techniques, providing tailored experiences for users.
Cloud-Ready Deployment: Acquire knowledge to deploy solutions on cloud platforms, ensuring scalability, accessibility, and reliability.
Industry-Aligned Projects: Engage with expert-curated projects to gain hands-on experience in data pipelines, experimental design, recommendation systems, and cloud deployment.
Complete Intro to Machine Learning with PyTorch
Rating - 8/10
Link to the course - https://bit.ly/3QApnJU
Fundamentals of ML Techniques: Master core machine learning concepts covering data manipulation, unsupervised learning, and supervised algorithms.
Data Manipulation Proficiency: Acquire skills to effectively preprocess and manipulate data, a crucial step for accurate model training.
Unsupervised Insights: Explore unsupervised learning methods, unlocking hidden patterns and structures within data sets.
Supervised Mastery: Gain expertise in supervised algorithms, enabling prediction and classification tasks with guided learning.
PyTorch Empowerment: Harness the power of PyTorch to implement and experiment with machine learning algorithms in a dynamic framework.
Complete Data Architect
Rating - 9/10
Link to the course : https://bit.ly/3qon0z5
Data Architecture Mastery: Learn to design data models, integration frameworks, and storage systems for efficient and scalable data management.
Performance Optimization: Gain insights into optimizing data infrastructure performance through indexing, partitioning, and efficient query strategies.
Data Governance Empowerment: Develop a strong understanding of data governance principles, ensuring data security, compliance, and quality throughout the system.
Strategic Data Planning: Acquire the expertise to strategize, design, and execute robust enterprise data infrastructure solutions.
Blueprinting Data Systems: Master the art of creating comprehensive blueprints for data management systems that align with organizational needs.
Complete Data Scientist:
Rating - 10/10
Link to the course : https://bit.ly/3wiIo8u
End-to-End Pipeline Mastery: Develop expertise in constructing data pipelines from collection to deployment, ensuring efficient data flow and quality maintenance.
Experimental Proficiency: Learn to design controlled experiments, gather data, and analyze results, a critical skill for validating hypotheses and driving decisions.
Personalized Recommendations: Acquire the ability to build recommendation systems using collaborative and content-based techniques, enhancing user experiences.
Cloud-Ready Solutions: Understand cloud deployment intricacies, enabling you to package and deploy solutions for scalability and accessibility on cloud platforms.
Real-World Project Insight: Gain hands-on experience with industry-vetted projects to master data pipelines, experimental design, recommendation systems, and cloud deployment.
Complete Natural Language Processing:
Link to the course : https://bit.ly/3T7J8qY
Build models that analyze and interpret human language, enabling sentiment analysis and machine translation.
Gain hands-on experience working with real data, developing practical NLP applications.
Uncover hidden patterns and extract valuable insights from textual data.
Understand the complexities of language and apply NLP techniques to solve challenging problems.
Unlock the power of language through the application of natural language processing.
Complete Deep Learning:
Rating - 10/10
Link to the course : https://bit.ly/3T5ppIo
Master the implementation of Neural Networks using the powerful PyTorch framework.
Dive deep into the world of deep learning and understand its applications in various domains.
Gain hands-on experience in developing solutions for image recognition, natural language understanding, and more.
Learn about different architectures and techniques for building robust deep learning models.
Become proficient in utilizing deep learning to tackle complex problems and drive innovation.
Complete Data Product Manager:
Rating - 8/10
Link to the course : https://bit.ly/3QGUtwi
Leverage the power of data to build products that deliver personalized and impactful experiences.
Lead the development of data-driven products that position businesses ahead of the competition.
Gain a deep understanding of user behavior and preferences through data analysis.
Develop strategies to optimize product performance and drive business growth.
Become a data product manager who can harness data's potential to create successful products.
Complete Self Driving Car Engineer
Rating - 9/10
Link to the course : https://bit.ly/449gzNY
Cutting-Edge Robotics Fusion: Dive into the convergence of robotics, machine learning, and engineering, the heart of self-driving car innovation.
Advanced Skillset Development: Acquire the same skills utilized by leading tech companies in building self-driving car systems.
Transformational Technology Insights: Explore the revolutionary potential of self-driving cars, driving breakthroughs in transportation and automation.
Robust Machine Learning Integration: Integrate machine learning techniques to enable vehicles to perceive and react in complex real-world scenarios.
Industry-Leading Expertise: Gain proficiency in the techniques employed by top self-driving car teams, preparing you for the forefront of autonomous vehicle development.
ProjectsÂ
Implemented Applied Machine Learning Projects
Linear Algebra for Machine Learning
Supervised Learning
Regression
Ridge Regression
Bayesian Methods
Classification Algorithms
Logistic Regression
Support Vector Machines and Decision Trees
Boosting and K-Means Clustering
Unsupervised Learning
Clustering Methods
K-means,
Principal Component Analysis and Markov Models
Hidden Markov Models and Kalman Filtering
Modeling
Model selection and evaluation
Applied Machine Learning Projects (40)
Complete System Design Case Studies
Github : https://bit.ly/3jFzW01
ML System Design Case Studies Series : https://bit.ly/3i5EDiH