Master the skills that can get you a $100K+ salary even if you bunked your statistics classes.

No need to waste hours and hours on browsing from one article to the next and piecing together the info you need to grasp important topics. No need to get overwhelmed by the information overload. Find easy to follow, hands-on, and fun explanations of all the essential topics in one place so you can quickly and efficiently learn what you need to thrive as a data scientist.

“Is this course right for me?” Continue to read to decide for yourself!

– “I want to understand this data science concept. Let me Google it”. Then after hours of surfing, reading random articles, and invoking the heavens, you are more confused than before.
– “Data science is the sexiest and highest paying job of the 21st century. I want to become a data scientist too”.
– “I have a basic knowledge of Python, willingness to learn, and commitment to become a great data scientist.”

Is that you? If yes, you are at the right place.

What You’ll Learn

• Learn Python fundamental libraries for data science
• Learn statistics fundamentals for data science
• Learn machine learning fundamentals for data science
• Solve an end-to-end machine learning project
• Get to know how to get the highest paying data scientist job

Course Content

1.Python Fundamentals for Data Science

Step through Python basics, NumPy, Pandas, and foundational data visualization techniques.

• Creating the Workspace – Jupyter Notebooks
• Python Libraries
• Learning NumPy – An Introduction
• NumPy Basics – Creating NumPy Arrays and Array Attributes
• NumPy Basics – Array Indexing and Slicing
• NumPy Basics – Reshaping and Concatenation
• NumPy Arithmetic and Statistics – Computations and Aggregations
• NumPy Arithmetic and Statistics – Comparison and Boolean Masks
• Exercises: NumPy
• Learning Pandas – An Introduction
• Pandas Core Components – The Series Object
• Pandas Core Components – The DataFrame Object
• Pandas DataFrame Operations – Read, View and Extract Information
• Pandas DataFrame Operations – Selection, Slicing, and Filtering
• Pandas DataFrame Operations – Grouping and Sorting
• Pandas DataFrame Operations – Dealing With Missing and Duplicates
• Pandas DataFrame Operations – Pivot Tables and Functions
• Pandas: Further Readings and Cheat Sheet
• Exercises: Pandas
• Data Visualization – An Introduction
• Data Visualization – Matplotlib Tips
• Data Visualization Techniques – Scatter, Line, and Histogram
• Data Visualization Techniques – Bar and Box Plot
• Data Visualization Cheat Sheet
• Quiz: Data Visualization

2.The Fundamentals of Statistics

Discover the logic behind statistical analysis, probability concepts, distributions, and significance.

• Introduction
• Statistical Features – Basics
• Statistical Features – Working With Box Plots
• Basics of Probability
• Bayesian Statistics
• Probability Distributions – An Introduction
• Types of Distributions – Uniform, Bernoulli, and Binomial
• Types of Distributions – Normal
• Types of Distributions – Poisson and Exponential
• Probability Distributions Recap
• Statistical Significance
• Quiz: Statistics

3.Machine Learning 101

Explore fundamental concepts, algorithms, model evaluation, and project execution in machine learning.

• Introduction
• Understanding Machine Learning
• Types of Machine Learning Algorithms
• Machine Learning Algorithms I
• Machine Learning Algorithms II
• Quiz: Machine Learning Algorithms
• Evaluating a Model
• Quiz: Evaluating a Model
• Key Points to Remember
• Machine Learning Project Checklist

4.End-to-End Machine Learning Project

Break down the steps to conduct an end-to-end machine learning project systematically.

• Introduction
• Kaggle Challenge – Exploratory Data Analysis
• Kaggle Challenge – Data Preprocessing
• Kaggle Challenge – Data Transformation
• Kaggle Challenge – Machine Learning Models
• Kaggle Challenge – Fine Tune Parameters
• Kaggle Challenge – Present, Launch and Maintain the System
• Assignment
• Further Study Material

5.The Real Talk

Map out the steps for achieving career success, overcoming imposter syndrome, and continuous growth.

• How to Get That High-Paying Job
• Imposter Syndrome
• Final Thoughts