23.01.2022, 18:23
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Full Stack Data Scientist A-Z™ BootCamp
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 37.2 GB | Duration: 58h 26m
Include Full Python Course |Full Statistics Course|Full Machine Learning Course|Full Deployment |20 Projects |ALL IN ONE
What you'll learn
Learn Full Python Programming For Data Science
Learn Full Statistics For Data Science
Learn Full Machine Learning Course
Learn How To Deploy Machine Learning Models In Real-World
Learn Through 20+ Real World Projects
Get Access To High-valued Virtual Internships from Top Companies like KPMG, Accenture, ANZ, etc
Learn From DATA SCIENTISTS and PROFESSORS With 17+ yrs of Experience
Learn Cloud Technologies For Data Science like AWS, Microsoft Azure, Google Cloud, Flask, Heroku, Streamlit
2 Months VIRTUAL INTERNSHIP
Create Robust Machine Learning Models with CatBoost ,XGBoost, LightGbm
Participate In HACKATHONS
Learn Different Machine Learning Algorithms such as Linear And Logistic regression, Naive Bayes,KNN,SVM,K-means, etc.
Deal With Data Imbalance (Upsampling/Downsampling/SMOTE)
Beginner To Advance
Gain Confidence In Performing Exploratory Data Analysis (EDA)
Learn The Necessary Statistics
Requirements
This is a Beginner to Advanced level course and there is no prerequisite knowledge to get started. The instructors will start from the very basics to advanced
Your motivation, laptop, and internet connection is highly recommended
If you are a complete beginner, you have all the lessons from introduction to python to building projects and deployment.
If you already have have the basics, we have advanced concepts and more than 20 projects and deployment for you to practice.
All resources recommended in this course are FREE to access, no need to pay anything.
Description
So far the most comprehensive yet concise Data Science course on Udemy.
This course is more to the point to help you to quickly master the concept of Data Science to land your dream job at your dream company.
The course is taught by industry professionals as well as University of Texas professors.
The creators of this course took more than 6 months in consulting Industry and Academic professionals in creating the course curriculum. The content in this course is the same as being delivered to our undergraduate and graduate students on campus.
This is a BEGINNER to ADVANCED course for anyone who is interested in making a career in Data Science.
Gain a complete understanding of Data Science concepts.
Learn how to build robust Machine Learning algorithms.
Learn industry-level data cleaning.
Learn how to build and deploy Machine Learning algorithms in production.
Learn cloud services such as Amazon Web Service(AWS), Microsoft Azure, Google Cloud, Heroku, Flask, Heroku, Streamlit, etc.
Participate in VIRTUAL INTERNSHIP and HACKATHONS
In this course
Complete Python Course
Complete Statistics Course
Complete Machine Learning Course
Full Machine Learning Deployment Course
Virtual Internship
Hands-on Projects
Hackathons
If you really want to make a career in Data Science and land your dream Data Science job then this course is for you !!
Let's get started !!
Who this course is for
Anyone interested in Data Science and Machine Learning.
Anyone who wants to Build And Deploy machine learning models on Flask, Heroku, AWS,Google Cloud, Microsoft Azure, Streamlit
Any student interested in a career in Data Science and Machine Learning
Any beginner level interested to kick-start their career in Data Science and Machine Learning
Any intermediate level learner who know the basics of python, statistics, machine Learning and want to learn more about it
Anyone not that comfortable with coding but interested in Data Science and Machine Learning and want to easily understand the concepts
Any data analysts who want to transition to Data Science and Machine Learning
Any Business Analysts who want to transition to Data Science and Machine Learning
Anyone not satisfied with their job and looking for a career transition to become a Data Scientist.
Anyone who wants to leverage the power of data in his case scenario.
Any curious mind
Homepage
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