The WHOLE of this PAID PREMIUM Data Science Complete Full Course is made FREE. Wooow!!!
The WHOLE of this Paid PREMIUM Course is MADE FREE of charge. WOOW!!
Data in the 21st Century is like Oil in the 18th Century. Back in 2017, The Economist published a story titled, “The world’s most valuable resource is no longer oil, but data.” Since its publication, the topic has earned a great deal of discussion, and “Data is the new oil” has become the new buzz word.
Check out The Full Stack Data Scientist Bootcamp
Experts in the field of Data Science such as Data Scientists, Machine Learning Engineers, Artificial Intelligence experts, Data Analysts, etc. earn an awesome amount of salaries beyond expectations.
The average salary of a Data Scientist is estimated at $113K according to Glassdoor.
Even with a Data Scientist Intern at $100k.
According to the Economic Times, 11.5 million job openings by 2026 with sky-high salaries.
However, learning these skills can be quite hectic especially if you don’t have a big budget to spend on these courses.
Institutions that offer these courses price it at budget-breaking limits knowing that people are more inclined to learn these skills.
Degrees in Data Science are hyped as high as $114,000 and above. Online courses are priced as well with few affordable to those who can afford.
WHAT IF YOU WANT TO BE A SELF-TAUGHT DATA SCIENTIST?
I received 3,011 emails asking me to help them learn Data Science. Having thought of these self-motivated students, I decided to make my paid course free for everyone to kick-start their journey in Data Science.
This course has been selling since last year, with over 4,320 students enrolled.
I made this course free of charge so that you can also start your journey and save your budget for more critical issues.
You can SUBSCRIBE to the channel and click on the Notification bell for any updates and new courses and projects.
I have all the course and the course materials available and I have created a playlist for these courses in sequential order.
The following is the sequence of the course.
PYTHON FOR DATA SCIENCE
- Python Basics
- Python functions & packages
- Data structures
- Arrays
- Vectors
- Data frames
- Jupyter notebook: Installation & function
- Python libraries:
- Pandas
- NumPy
- Matplotlib
- Seaborn
STATISTICS
• Descriptive Statistics
• Probability & Conditional Probability
• Hypothesis Testing
• Inferential Statistics
• Probability Distributions
Supervised learning
Linear regression
Logistic regression
Naive Bayes classifiers
Multiple regression
K-NN classification
Support vector machines
Unsupervised learning
• K-means clustering
• High-dimensional clustering
• Hierarchical clustering
• Dimension Reduction (Principal Component Analysis)
Projects and Deployment
- Breast Cancer Detection Using SVM
- Bank Note Analysis Using Logistic Regression, Random Forest, KNN, SVM
- Predicting Compressive Strenght Of Concrete With Feature Engineering
- Stock Market Clustering With Live Data From Yahoo Finance Using K-Means Algorithm
- BigMart Sales Challenge
- Credit Card Fraud Detection: Working On Unbalanced Data Using Upsampling and Downsampling Techniques
- Amazon Employee Access Challenge
Machine Learning Model Deployment
- Build Your First STREAMLIT Project
- FLASK: Deploy Machine Learning Models Using Flask
- HEROKU: Deploy Machine Learning Models Using Heroku
Best Of Luck
If you are interested in learning Data Science, the right way, and getting a CERTIFICATE, I advise you to start with The Full Stack Data Scientist Bootcamp I have slashed the cost to the lowest so that you can afford it.
I will also be posting more FREE Data Science Projects on the
so don’t forget to subscribe and hit the notification bell to get notified anytime I post them.
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