Data Science – End 2 End Beginners Course Part 1

Data Science – End 2 End Beginners Course Part 1, available at $54.99, has an average rating of 4.75, with 80 lectures, based on 4 reviews, and has 63 subscribers.

You will learn about Part 1 is a Beginner’s course that covers Machine Learning and Data Analytics Objective is to teach students how to do an End-2-End data science project From problem definition, data sourcing, wrangling, modelling, analyzing and visualizing to deploying and maintaining Part 1 will cover all the basics required for building machine learning models – programming, analytics, maths, process, algorithms and deployment It will provide full maths and logic details for all algorithms Programming (python) and Data analytics (pandas) Maths, Statistics and Probability basics required for understanding the different algorithms Data Science Process – Problem, Wrangling, Algorithm Selection, Model Building , Visualization, Deployment Data Wrangling Build Machine Learning models – Supervised & Unsupervised algorithms using Regression, Classification & Clustering How to Visualize and Evaluate models Model Persistence and Deployment using joblib and flask, Deploying on AWS Cloud using S3 and Elastic Beanstalk, Using AWS Sagemaker End 2 End Project – Building a RoboAdvisor – multi-asset portfolio using global assets and macroeconomic data Detailed python code and data is provided to explain all concepts and algorithms Use popular libraries like scikit-learn, xgboost, numpy, matplotlib, seaborn, joblib, flask, etc This course is ideal for individuals who are This course is for anyone interested in learning data science or From beginners to intermediate level users or Analyst, programmer, non-technical professional, student, etc or Data Analysts, Machine Learning engineers, Data Engineers, Business Analysts who want to become Data Scientists It is particularly useful for This course is for anyone interested in learning data science or From beginners to intermediate level users or Analyst, programmer, non-technical professional, student, etc or Data Analysts, Machine Learning engineers, Data Engineers, Business Analysts who want to become Data Scientists.

Enroll now: Data Science – End 2 End Beginners Course Part 1

Summary

Title: Data Science – End 2 End Beginners Course Part 1

Price: $54.99

Average Rating: 4.75

Number of Lectures: 80

Number of Published Lectures: 80

Number of Curriculum Items: 80

Number of Published Curriculum Objects: 80

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

• Part 1 is a Beginner’s course that covers Machine Learning and Data Analytics
• Objective is to teach students how to do an End-2-End data science project
• From problem definition, data sourcing, wrangling, modelling, analyzing and visualizing to deploying and maintaining
• Part 1 will cover all the basics required for building machine learning models – programming, analytics, maths, process, algorithms and deployment
• It will provide full maths and logic details for all algorithms
• Programming (python) and Data analytics (pandas)
• Maths, Statistics and Probability basics required for understanding the different algorithms
• Data Science Process – Problem, Wrangling, Algorithm Selection, Model Building , Visualization, Deployment
• Data Wrangling
• Build Machine Learning models – Supervised & Unsupervised algorithms using Regression, Classification & Clustering
• How to Visualize and Evaluate models
• Model Persistence and Deployment using joblib and flask, Deploying on AWS Cloud using S3 and Elastic Beanstalk, Using AWS Sagemaker
• End 2 End Project – Building a RoboAdvisor – multi-asset portfolio using global assets and macroeconomic data
• Detailed python code and data is provided to explain all concepts and algorithms
• Use popular libraries like scikit-learn, xgboost, numpy, matplotlib, seaborn, joblib, flask, etc

Who Should Attend

• This course is for anyone interested in learning data science
• From beginners to intermediate level users
• Analyst, programmer, non-technical professional, student, etc
• Data Analysts, Machine Learning engineers, Data Engineers, Business Analysts who want to become Data Scientists

Target Audiences

• This course is for anyone interested in learning data science
• From beginners to intermediate level users
• Analyst, programmer, non-technical professional, student, etc
• Data Analysts, Machine Learning engineers, Data Engineers, Business Analysts who want to become Data Scientists