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$34.99The Statistics and Calculus with Python Workshop
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A Smarter Way to Learn Statistics and Calculus
A stepbystep, focused approach to getting up and running with realworld statistics and calculus in no time at all.
Course Curriculum
An A to Z tour of statistics and calculus.

1. Fundamentals of Python
 Overview FREE PREVIEW
 Control Flow Methods FREE PREVIEW
 Exercise 1.01: Divisibility with Conditionals FREE PREVIEW
 Loops FREE PREVIEW
 Exercise 1.02: Number Guessing Game FREE PREVIEW
 Data Structures FREE PREVIEW
 Exercise 1.03: MultiDimensional Lists FREE PREVIEW
 Tuples FREE PREVIEW
 Exercise 1.04: Shopping Cart Calculations FREE PREVIEW
 Functions and Algorithms FREE PREVIEW
 Exercise 1.05: Finding the Maximum FREE PREVIEW
 Recursion FREE PREVIEW
 Exercise 1.06: The Tower of Hanoi FREE PREVIEW
 Algorithm Design FREE PREVIEW
 Exercise 1.07: The NQueens Problem FREE PREVIEW
 Testing, Debugging, and Version Control FREE PREVIEW
 Exercise 1.08: Testing for Concurrency FREE PREVIEW
 Exercise 1.09: Version Control with Git and GitHub FREE PREVIEW
 Activity 1.01: Building a Sudoku Solver FREE PREVIEW
 Activity 1.01: Building a Sudoku Solver FREE PREVIEW
 Summary FREE PREVIEW

2. Python's Main Tools for Statistics
 Overview
 Scientific Computing and NumPy Basics
 Exercise 2.01: Timing Vectorized Operations in NumPy
 Random Sampling
 Working with Tabular Data in pandas
 Exercise 2.02: Data Table Manipulation
 Advanced Pandas Functionalities
 Exercise 2.03: The Student Dataset
 Data Visualization with Matplotlib and Seaborn
 Exercise 2.04: Visualization of Probability Distributions
 Visualization Shorthand from Seaborn and Pandas
 Activity 2.01: Analyzing the Communities and Crime Dataset
 Activity 2.01: Analyzing the Communities and Crime Dataset
 Summary

3. Python's Statistical Toolbox
 Overview
 An Overview of Statistics
 Exercise 3.01: Visualizing Weather Percentages
 Numerical Data
 Exercise 3.02: MinMax Scaling
 Ordinal Data
 Descriptive Statistics
 Exercise 3.03: Visualizing Probability Density Functions
 PythonRelated Descriptive Statistics
 Inferential Statistics
 Exercise 3.04: Identifying and Testing Equality of Means
 Statistical and Machine Learning Models
 Exercise 3.05: Model Selection
 Python's Other Statistics Tools
 Activity 3.01: Revisiting the Communities and Crimes Dataset
 Activity 3.01: Revisiting the Communities and Crimes Dataset
 Summary
 Survey I

4. Functions and Algebra with Python
 Overview
 Functions
 Exercise 4.01: Function Identification from Plots
 Function Transformations
 Exercise 4.02: Function Transformation Identification
 Equations
 Exercise 4.03: Introduction to BreakEven Analysis
 Systems of Equations
 Exercise 4.04: Matrix Solution with NumPy
 Systems of NonLinear Equations
 Activity 4.01: MultiVariable BreakEven Analysis
 Activity 4.01: MultiVariable BreakEven Analysis
 Summary

5. More Mathematics with Python
 Overview
 Sequences and Series
 Exercise 5.01: Determining the nth Term of an Arithmetic Sequence and Arithmetic Series
 Geometric Sequences
 Exercise 5.02: Writing a Function to Find the Next Term of the Sequence
 Recursive Sequences
 Exercise 5.03: Creating a Custom Recursive Sequence
 Trigonometry
 Exercise 5.04: Plotting a RightAngled Triangle
 Inverse Trigonometric Functions
 Exercise 5.05: Finding the Shortest Way to the Treasure Using Inverse Trigonometric Functions
 Exercise 5.06: Finding the Optimal Distance from an Object
 Vectors
 Exercise 5.07: Visualizing Vectors
 Complex Numbers
 Exercise 5.08: Conditional Multiplication of Complex Numbers
 Activity 5.01: Calculating Your Retirement Plan Using Series
 Activity 5.01: Calculating Your Retirement Plan Using Series
 Summary

6. Matrices and Markov Chains with Python
 Overview
 Matrix Operations on a Single Matrix
 Exercise 6.01: Calculating the Time Taken for Sunlight to Reach Earth Each Day
 Operations and Multiplication in Matrices
 Exercise 6.02: Matrix Search
 Multiple Matrices
 Operations on Multiple Matrices
 Exercise 6.03: Use of Matrices in Performing Linear Equations
 Transition Matrix and Markov Chains
 Exercise 6.04: Finding the Probability of State Transitions
 Markov Chains and Markov Property
 Activity 6.01: Building a Text Predictor Using a Markov Chain
 Activity 6.01: Building a Text Predictor Using a Markov Chain
 Summary

7. Doing Basic Statistics with Python
 Overview
 Data Preparation
 Exercise 7.01: Using a String Column to Produce a Numerical Column
 Calculating and Using Descriptive Statistics
 Exercise 7.02: Calculating Descriptive Statistics
 Exploratory Data Analysis
 Exercise 7.03: Practicing EDA
 Activity 7.01: Finding Out Highly Rated Strategy Games
 Activity 7.01: Finding Out Highly Rated Strategy Games
 Summary
 Survey II

8. Foundational Probability Concepts and Their Applications
 Overview
 Randomness, Probability, and Random Variables
 Exercise 8.01: Sampling with and without Replacement
 Probability as a Relative Frequency
 Exercise 8.02: Calculating the Average Wins in Roulette
 Discrete Random Variables
 Exercise 8.03: Checking If a Random Variable Follows a Binomial Distribution
 Continuous Random Variables
 Exercise 8.04: Using the Normal Distribution in Education
 Activity 8.01: Using the Normal Distribution in Finance
 Activity 8.01: Using the Normal Distribution in Finance
 Summary

9. Intermediate Statistics with Python
 Overview
 Law of Large Numbers
 Exercise 9.01: The Law of Large Numbers in Action
 Exercise 9.02: Coin Flipping Average over Time
 A Practical Application of the Law of Large Numbers Seen in the Real World
 Exercise 9.03: Calculating the Average Winnings for a Game of Roulette If We Constantly Bet on Red
 Central Limit Theorem
 Exercise 9.04: Showing the Sample Mean for a Uniform Distribution
 Random Sampling from an Exponential Distribution
 Exercise 9.05: Taking a Sample from an Exponential Distribution
 Confidence Intervals
 Exercise 9.06: Finding the Confidence Interval of Polling Figures
 Small Sample Confidence Interval
 Hypothesis Testing
 Exercise 9.07: The ZTest in Action
 Proportional ZTest
 Exercise 9.08: The TTest
 2Sample TTest or A/B Testing
 Exercise 9.09: A/B Testing Example
 Introduction to Linear Regression
 Exercise 9.10: Linear Regression
 Activity 9.01: Standardized Test Performance
 Activity 9.01: Standardized Test Performance
 Summary

10. Foundational Calculus with Python
 Overview
 Writing the Derivative Function
 Exercise 10.01: Finding the Derivatives of Other Functions
 Finding the Equation of the Tangent Line
 Exercise 10.02: Finding the Area Under a Curve
 Using Integrals to Solve Applied Problems
 Exercise 10.03: Finding the Volume of a Solid of Revolution
 Using Derivatives to Solve Optimization Problems
 Exercise 10.04: Find the Quickest Route
 Exercise 10.05: The Box Problem
 Exercise 10.06: The Optimal Can
 Exercise 10.07: Calculating the Distance Between Two Moving Ships
 Activity 10.01: Maximum CircletoCone Volume
 Activity 10.01: Maximum CircletoCone Volume
 Summary

11. More Calculus with Python
 Overview
 Length of a Curve
 Exercise 11.01: Finding the Length of a Curve
 Exercise 11.02: Finding the Length of a Sine Wave
 Length of a Spiral
 Exercise 11.03: Finding the Length of the Polar Spiral Curve
 Exercise 11.04: Finding the Length of Insulation in a Roll
 Exercise 11.05: Finding the Length of an Archimedean Spiral
 Area of a Surface
 Exercise 11.06: Finding the Area of a 3D Surface – Part 1
 Exercise 11.07: Finding the Area of a 3D Surface – Part 2
 Exercise 11.08: Finding the Area of a Surface – Part 3
 Infinite Series
 Exercise 11.09: Calculating 10 Correct Digits of π
 Exercise 11.10: Calculating the Value of π Using Euler's Expression
 A 20th Century Formula
 Exercise 11.11: Determining the Interval of Convergence – Part 1
 Exercise 11.12: Determining the Interval of Convergence – Part 2
 Exercise 11.13: Finding the Constant
 Activity 11.01: Finding the Minimum of a Surface
 Activity 11.01: Finding the Minimum of a Surface
 Summary
 Survey III

12. Intermediate Calculus with Python
 Overview
 Differential Equations
 Exercise 12.01: Calculating Interest
 Exercise 12.02: Calculating Compound Interest – Part 1
 Exercise 12.03: Calculating Compound Interest – Part 2
 Exercise 12.04: Calculating Compound Interest – Part 3
 Exercise 12.05: Becoming a Millionaire
 Population Growth
 Exercise 12.06: Calculating the Population Growth Rate – Part 1
 Exercise 12.07: Calculating the Population Growth Rate – Part 2
 HalfLife of Radioactive Materials
 Exercise 12.08: Measuring Radioactive Decay
 Exercise 12.09: Measuring the Age of a Historical Artifact
 Newton's Law of Cooling
 Exercise 12.10: Calculating the Time of Death
 Exercise 12.11: Calculating the Rate of Change in Temperature
 Mixture Problems
 Exercise 12.12: Solving Mixture Problems – Part 1
 Exercise 12.13: Solving Mixture Problems – Part 2
 Exercise 12.14: Solving Mixture Problems – Part 3
 Exercise 12.15: Solving Mixture Problems – Part 4
 Euler's Method
 Exercise 12.16: Solving Differential Equations with Euler's Method
 Exercise 12.17: Using Euler's Method to Evaluate a Function
 RungeKutta Method
 Exercise 12.18: Implementing the RungeKutta Method
 Pursuit Curves
 Exercise 12.19: Finding Where the Predator Catches the Prey
 Exercise 12.20: Using Turtles to Visualize Pursuit Curves
 Position, Velocity, and Acceleration
 Exercise 12.21: Calculating the Height of a Projectile above the Ground
 An Example of Calculating the Height of a Projectile with Air Resistance
 Exercise 12.22: Calculating the Terminal Velocity
 Activity 12.01: Finding the Velocity and Location of a Particle
 Activity 12.01: Finding the Velocity and Location of a Particle
 Summary
Join Over 85,000 Satisfied Students
Here is what they have to say about Packt workshops:
Amazing
Federico Patito
This course is excelent, with this course you learn a lot of topics and each topic has some exercises that are very u...
Read MoreThis course is excelent, with this course you learn a lot of topics and each topic has some exercises that are very useful.
Read LessVery detailed workshop with good excercises and activites
Ajijul Hakim Abid
Very good indepth workshop in python. Goes over almost every topics but some topics could have a more detailed expla...
Read MoreVery good indepth workshop in python. Goes over almost every topics but some topics could have a more detailed explanation. Would't recommend for someone totally new to programming.
Read LessGreat Introductory Course
mohammad nazeri
This course covers basic Python syntax, how to develop software in python, how to work in a team, and an introduction...
Read MoreThis course covers basic Python syntax, how to develop software in python, how to work in a team, and an introduction to data science and machine learning with Python.
Read LessAn excellent way to learn Python
Juan Alberto Cañero Tamayo
I like the methodology applied to this workshop, it starts from the basic and a good explanation of the subjects plus...
Read MoreI like the methodology applied to this workshop, it starts from the basic and a good explanation of the subjects plus a plenty of examples helps you to understand Python.
Read Less5 Stars for the content !
Mahesh Deshpande
I belong to mechanical background and started leaning any kind of programming in my life with this course. This is to...
Read MoreI belong to mechanical background and started leaning any kind of programming in my life with this course. This is too good for a beginner like me. The content is properly given and exercise and activities are also good. Video explainations help a lot ! The only problem I faced was the kernel busy problem in the Jupyter IDE. Otherwise I found Jupyter most user friendly as compared to other IDEs. Thanks Packt for this course !
Read LessThe most satisfying python workshop i ever attended!
Sanket Gadge
I have attended many python workshops, but this one is really great, the content is super awesome. Actually all the c...
Read MoreI have attended many python workshops, but this one is really great, the content is super awesome. Actually all the courses workshops i ever attended they never taught me (for ex. say logging) everything in python, but this workshop even covers the python from beginner to advanced. With activities included, this workshop made me think more and more rather than just going through the content and reading text and videos. I learned a ton here. Thank you for all the coaches who creating this extra ordinary content.
Read LessDATA SCIENCE Workshop
LALIT JADHAV
This course format and is very easily understandable. Workshop Certificate structure are very wonderful. Thanks a lot...
Read MoreThis course format and is very easily understandable. Workshop Certificate structure are very wonderful. Thanks a lot for Packt👈
Read LessExcellent course !!
Luiz Pellegrini
Very well structured, with good examples and a rational sequence !! An additional feature is that it is updated and d...
Read MoreVery well structured, with good examples and a rational sequence !! An additional feature is that it is updated and designed run on Jupyter Notebooks!!
Read LessCourse content
Edward Amankwah
The course presents a great way to data visualization techniques and it also opens up a lot of opportunities for data...
Read MoreThe course presents a great way to data visualization techniques and it also opens up a lot of opportunities for data scientist to explore their dataset before and after data modelling.
Read LessMany disciplines in Data Visualization
Thomas Hopf
Taking into account Python and therefore Jupyter Notebooks as a "platform" isn't a problem at all, since it's common....
Read MoreTaking into account Python and therefore Jupyter Notebooks as a "platform" isn't a problem at all, since it's common. Setting up by "cloning" a github repository was very easy. The toolboxes for visualization in focus are Matplotlib (famous), Seaborn, Geoplotlib. The order makes sense and in order to get Python basics pandas and numpy are also introduced first. Finally Bokeh is introduced as an interactive tool with no deepdive but explaining the concept and options. At the end there will be a summary. The quizzes are not that easy in my opinion and you really should follow every topic and do the exersices, activities. Thanks for this perfect designed workshop course and the good example datasets. Greetz, Tommy
Read LessSimple and straightforward intro
Geoffrey Letsoalo
The introduction is simple and very informative in terms of estalishing and getting the development environment going...
Read MoreThe introduction is simple and very informative in terms of estalishing and getting the development environment going. Very intuitive!
Read LessDifferent and made for people like me
Muizz Lateef
I have been watching tutorial videos for over 6 months now and not really confident yet, but few minutes into this te...
Read MoreI have been watching tutorial videos for over 6 months now and not really confident yet, but few minutes into this text approach and i am already getting the whole idea
Read LessExcellent Course Overall
Jon Hill
Had some familiarity with Python before starting the course and working through the exercises and activities, certain...
Read MoreHad some familiarity with Python before starting the course and working through the exercises and activities, certainly picked up some things that I had missed before and filled some gaps in my knowledge. Course needs a bit of proofreading as a number of errors sprinkled throughout. Found the Activities needed a little more guidance rather than being vague but worked out in the end. Overall excellent course, especially for those beginning with Python as covers a full spectrum of Python requirements. Many thanks
Read LessReview for the Python Workshop
Samapriya Trivedi
This workshop provides one of the best educative content for the Python available on internet. Got to know a lot abou...
Read MoreThis workshop provides one of the best educative content for the Python available on internet. Got to know a lot about Python and it's working in a very elaborate manner.
Read LessLearning Python is Easier
Jayabalan Ravichandiran
Python concepts and using those in practice , made easier to know about python. Core concepts are explained in detail...
Read MorePython concepts and using those in practice , made easier to know about python. Core concepts are explained in detail . The activities enables to play & know python more than reading through only concepts . The Best of python course is here ....
Read LessReal Python lover... The Packt.
Jonty Rhodes
What can I say this website is very good for beginners. Although this website enhancing my programming experience al...
Read MoreWhat can I say this website is very good for beginners. Although this website enhancing my programming experience also. keep it up. May Allah bless you.
Read LessAttila Sebők's review
Attila Sebők
A Python Workshop kellemes meglepetés volt számomra. Tetszett a tema csoportosítása. Sokat tanultam a Workshopból. Am...
Read MoreA Python Workshop kellemes meglepetés volt számomra. Tetszett a tema csoportosítása. Sokat tanultam a Workshopból. Ami lehetne jobb: naprakész hibajavítás a leckékben és a tesztekben.
Read LessWonderful
Varun Kanthety
This is a wonderful course to dive deeply into the main features of JavaScript. Without any hesitation, I highly reco...
Read MoreThis is a wonderful course to dive deeply into the main features of JavaScript. Without any hesitation, I highly recommend this workshop to learn JavaScript.
Read LessGood course on JavaScript... Super Easy Language, Every e...
Kuntal Bhowmick
The Workshop is really good and covers a lot of content starting from basics till advance. The Workshop explain ho...
Read MoreThe Workshop is really good and covers a lot of content starting from basics till advance. The Workshop explain how things work by using simple language, so you don't feel like you're just copying code—you're actually understanding what you're writing, and why. In particular, I appreciate this JavaScript Workshop because of the exercise and the activities given for each and every concept. The workshop also show students how to problemsolve like a developer: what to type into Google when you're stuck, how to get to the bottom of an error message, etc. I think the understanding the core concept was very beneficial and think it would help me become a better developer in the future. Amazing breakdowns that really help fill in knowledge gaps. Great exercises with fully detailed explanations. I am satisfied with the course. I highly recommend this course to anyone who wants to learn JS(JavaScript). Edit: I want to add another thing. The quiz given after every section is very important. It gives me how much I understand the section. the quiz also displays the explanation of each answer along with whether my selected answer is right or wrong.
Read LessProgramming fundamentals
Oteri Eyenike
I was able to understand the conditional statement, data types, the object of properties and I like every aspect of t...
Read MoreI was able to understand the conditional statement, data types, the object of properties and I like every aspect of the course.
Read LessContent
Adedeji Adelanwa
It is quite informative and helpfully. A real refresher and eye opener for me. Though there are a few typos and sente...
Read MoreIt is quite informative and helpfully. A real refresher and eye opener for me. Though there are a few typos and sentence misplacement and also video. I don't mind helping out in correcting the errors
Read LessA must for those aiming to become true web developers
Jose B
Despite minor aspects with tests (the one focused on PHP), it is a very good way to teach yourself JavaScript coverin...
Read MoreDespite minor aspects with tests (the one focused on PHP), it is a very good way to teach yourself JavaScript covering the latest ECMA standards,
Read LessOne of the best place to learn
NAGA SANKARA SAI KARTHIK MUKKU
This workshop course is not a pack of subject but also helps in connecting realworld and also provide widerange of ...
Read MoreThis workshop course is not a pack of subject but also helps in connecting realworld and also provide widerange of concepts which make this workshop stand out of the box
Read LessGreat workshop
Djoko Cahyo Utomo Lieharyani
This workshop gives a provide broad insight into python, more to practical exercises and activities. There are some p...
Read MoreThis workshop gives a provide broad insight into python, more to practical exercises and activities. There are some problems tough, like some wrong script, redundant question, and no clear definition on some part (around 15% of 100% I guess), but the discussion part is helpful, coz sometimes with reading discussion part make some problem clear. My suggestion is to make the workshop perfect by validating the disscussion part.
Read LessExcellent!
Marcos Souza
I was very surprised by the quality of this course. Its well organized, full of examples on the subjects it is teachi...
Read MoreI was very surprised by the quality of this course. Its well organized, full of examples on the subjects it is teaching, relevant quizzes and exercises, and even videos. Its by far the best free course i've ever seen.
Read LessCourse content
Edward Amankwah
A great way to review the length and breath of Python language. It introduces more concepts that can be pursued furth...
Read MoreA great way to review the length and breath of Python language. It introduces more concepts that can be pursued further which I really like, especially for data science.
Read LessGet Verified
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$34.99
$34.99The Statistics and Calculus with Python Workshop
Unlock one year of full, unlimited access!