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.
Master the skills that can get you a $100K+ salary even if you bunked your statistics classes.
No need to waste hours and hour...Show More
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
Learn Python fundamental libraries for data science
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TAKEAWAY SKILLS
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.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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