Content
1.
Python Fundamentals for Data Science
25 Lessons
Step through Python basics, NumPy, Pandas, and foundational data visualization techniques.
Creating the Workspace - Jupyter NotebooksPython LibrariesLearning NumPy - An IntroductionNumPy Basics - Creating NumPy Arrays and Array AttributesNumPy Basics - Array Indexing and SlicingNumPy Basics - Reshaping and ConcatenationNumPy Arithmetic and Statistics - Computations and AggregationsNumPy Arithmetic and Statistics - Comparison and Boolean MasksExercises: NumPyLearning Pandas - An IntroductionPandas Core Components - The Series ObjectPandas Core Components - The DataFrame ObjectPandas DataFrame Operations - Read, View and Extract InformationPandas DataFrame Operations - Selection, Slicing, and FilteringPandas DataFrame Operations - Grouping and SortingPandas DataFrame Operations - Dealing With Missing and DuplicatesPandas DataFrame Operations - Pivot Tables and FunctionsPandas: Further Readings and Cheat SheetExercises: PandasData Visualization - An IntroductionData Visualization - Matplotlib TipsData Visualization Techniques - Scatter, Line, and HistogramData Visualization Techniques - Bar and Box PlotData Visualization Cheat SheetQuiz: Data Visualization
2.
The Fundamentals of Statistics
12 Lessons
Discover the logic behind statistical analysis, probability concepts, distributions, and significance.
IntroductionStatistical Features - BasicsStatistical Features - Working With Box PlotsBasics of ProbabilityBayesian StatisticsProbability Distributions - An IntroductionTypes of Distributions - Uniform, Bernoulli, and BinomialTypes of Distributions - NormalTypes of Distributions - Poisson and ExponentialProbability Distributions RecapStatistical SignificanceQuiz: Statistics
3.
Machine Learning 101
10 Lessons
Explore fundamental concepts, algorithms, model evaluation, and project execution in machine learning.
4.
End-to-End Machine Learning Project
9 Lessons
Break down the steps to conduct an end-to-end machine learning project systematically.
5.
The Real Talk
3 Lessons
Map out the steps for achieving career success, overcoming imposter syndrome, and continuous growth.
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