The
Statistics
and Calculus
with Python
Workshop

With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy.
Cover of The Statistics and Calculus with Python Workshop

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    $34.99The Statistics and Calculus with Python Workshop

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A Smarter Way to Learn Statistics and Calculus

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The Statistics and Calculus with Python Workshop is ideal if you're looking for a structured, hands-on approach to get started with statistics and calculus.
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Course Curriculum

An A to Z tour of statistics and calculus.

  • Workshop Onboarding

  • 1. Fundamentals of Python

  • 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: Min-Max Scaling
    • Ordinal Data
    • Descriptive Statistics
    • Exercise 3.03: Visualizing Probability Density Functions
    • Python-Related 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 Break-Even Analysis
    • Systems of Equations
    • Exercise 4.04: Matrix Solution with NumPy
    • Systems of Non-Linear Equations
    • Activity 4.01: Multi-Variable Break-Even Analysis
    • Activity 4.01: Multi-Variable Break-Even 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 Right-Angled 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 Z-Test in Action
    • Proportional Z-Test
    • Exercise 9.08: The T-Test
    • 2-Sample T-Test 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 Circle-to-Cone Volume
    • Activity 10.01: Maximum Circle-to-Cone 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
    • Half-Life 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
    • Runge-Kutta Method
    • Exercise 12.18: Implementing the Runge-Kutta 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

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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...

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This course is excelent, with this course you learn a lot of topics and each topic has some exercises that are very useful.

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Very detailed workshop with good excercises and activites

Ajijul Hakim Abid

Very good in-depth workshop in python. Goes over almost every topics but some topics could have a more detailed expla...

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Very good in-depth 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.

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Great 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...

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This 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.

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An 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...

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I 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.

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5 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...

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I 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 !

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The 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...

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I 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.

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DATA SCIENCE Workshop

LALIT JADHAV

This course format and is very easily understandable. Workshop Certificate structure are very wonderful. Thanks a lot...

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This course format and is very easily understandable. Workshop Certificate structure are very wonderful. Thanks a lot for Packt👈

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Excellent course !!

Luiz Pellegrini

Very well structured, with good examples and a rational sequence !! An additional feature is that it is updated and d...

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Very well structured, with good examples and a rational sequence !! An additional feature is that it is updated and designed run on Jupyter Notebooks!!

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Course content

Edward Amankwah

The course presents a great way to data visualization techniques and it also opens up a lot of opportunities for data...

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The 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.

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Many 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....

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Taking 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 deep-dive 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

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Simple and straight-forward intro

Geoffrey Letsoalo

The introduction is simple and very informative in terms of estalishing and getting the development environment going...

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The introduction is simple and very informative in terms of estalishing and getting the development environment going. Very intuitive!

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Different 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...

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I 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

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Excellent Course Overall

Jon Hill

Had some familiarity with Python before starting the course and working through the exercises and activities, certain...

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Had 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 proof-reading 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

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Review 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...

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This 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.

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Learning Python is Easier

Jayabalan Ravichandiran

Python concepts and using those in practice , made easier to know about python. Core concepts are explained in detail...

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Python 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 ....

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Real 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...

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What 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.

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Attila Sebők's review

Attila Sebők

A Python Workshop kellemes meglepetés volt számomra. Tetszett a tema csoportosítása. Sokat tanultam a Workshopból. Am...

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A Python Workshop kellemes meglepetés volt számomra. Tetszett a tema csoportosítása. Sokat tanultam a Workshopból. Ami lehetne jobb: naprakész hibajavítás a leckékben és a tesztekben.

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Wonderful

Varun Kanthety

This is a wonderful course to dive deeply into the main features of JavaScript. Without any hesitation, I highly reco...

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This is a wonderful course to dive deeply into the main features of JavaScript. Without any hesitation, I highly recommend this workshop to learn JavaScript.

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Good 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...

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The 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 problem-solve 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.

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Programming fundamentals

Oteri Eyenike

I was able to understand the conditional statement, data types, the object of properties and I like every aspect of t...

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I was able to understand the conditional statement, data types, the object of properties and I like every aspect of the course.

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Content

Adedeji Adelanwa

It is quite informative and helpfully. A real refresher and eye opener for me. Though there are a few typos and sente...

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It 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

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A 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...

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Despite minor aspects with tests (the one focused on PHP), it is a very good way to teach yourself JavaScript covering the latest ECMA standards,

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One 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 real-world and also provide wide-range of ...

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This workshop course is not a pack of subject but also helps in connecting real-world and also provide wide-range of concepts which make this workshop stand out of the box

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Great workshop

Djoko Cahyo Utomo Lieharyani

This workshop gives a provide broad insight into python, more to practical exercises and activities. There are some p...

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This 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.

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Excellent!

Marcos Souza

I was very surprised by the quality of this course. Its well organized, full of examples on the subjects it is teachi...

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I 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.

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Course content

Edward Amankwah

A great way to review the length and breath of Python language. It introduces more concepts that can be pursued furth...

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A 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.

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