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Learn by doing real-world development, supported every step of the way with step-by-step examples and expert screencasts.
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Manage your learning based on your personal schedule, with content that lets you pause and resume your progress at will.
A Smarter Way to Learn Data Analysis
A step-by-step, focused approach to getting up and running with real-world data analysis in no time at all.
Course Curriculum
An A to Z tour of data analysis.
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1. Bike Sharing Analysis
- Overview FREE PREVIEW
- Understanding the Data FREE PREVIEW
- Exercise 1.01: Preprocessing Temporal and Weather Features FREE PREVIEW
- Registered versus Casual Use Analysis FREE PREVIEW
- Exercise 1.02: Analyzing Seasonal Impact on Rides FREE PREVIEW
- Hypothesis Tests FREE PREVIEW
- Exercise 1.03: Estimating Average Registered Rides FREE PREVIEW
- Exercise 1.04: Hypothesis Testing on Registered Rides FREE PREVIEW
- Analysis of Weather-Related Features FREE PREVIEW
- Exercise 1.05: Evaluating the Difference between the Pearson and Spearman Correlations FREE PREVIEW
- Correlation Matrix Plot FREE PREVIEW
- Time Series Analysis FREE PREVIEW
- Exercise 1.06: Time Series Decomposition in Trend, Seasonality, and Residual Components FREE PREVIEW
- ARIMA Models FREE PREVIEW
- Exercise 1.07: ACF and PACF Plots for Registered Rides FREE PREVIEW
- Activity 1.01: Investigating the Impact of Weather Conditions on Rides FREE PREVIEW
- Activity 1.01: Investigating the Impact of Weather Conditions on Rides FREE PREVIEW
- Summary FREE PREVIEW
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2. Absenteeism at Work
- Overview
- Initial Data Analysis
- Exercise 2.01: Identifying Reasons for Absence
- Initial Analysis of the Reason for Absence
- Exercise 2.02: Identifying Reasons for Absence with Higher Probability Among Drinkers and Smokers
- Exercise 2.03: Identifying the Probability of Being a Drinker/Smoker, Conditioned to Absence Reason
- Body Mass Index
- Exercise 2.04: Investigating the Impact of Age on Reason for Absence
- Exercise 2.05: Investigating the Impact of Education on Reason for Absence
- Transportation Costs and Distance to Work Factors
- Exercise 2.06: Investigating Absence Hours, Based on the Day of the Week and the Month of the Year
- Activity 2.01: Analyzing the Service Time and Son Columns
- Activity 2.01: Analyzing the Service Time and Son Columns
- Summary
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3. Analyzing Bank Marketing Campaign Data
- Overview
- Initial Data Analysis
- Exercise 3.01: Analyzing Distributions of Numerical Features in the Banking Dataset
- Exercise 3.02: Analyzing Distributions of Categorical Features in the Banking Dataset
- Impact of Numerical Features on the Outcome
- Exercise 3.03: Hypothesis Test of the Difference of Distributions in Numerical Features
- Modeling the Relationship via Logistic Regression
- Exercise 3.04: Logistic Regression on the Full Marketing Campaign Data
- Activity 3.01: Creating a Leaner Logistic Regression Model
- Activity 3.01: Creating a Leaner Logistic Regression Model
- Summary
- Survey I
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4. Tackling Company Bankruptcy
- Overview
- Explanation of Some of the Important Features
- Exercise 4.01: Importing Data into DataFrames
- Pandas Profiling
- Exercise 4.02: Performing Missing Value Analysis for the DataFrames
- Imputation of Missing Values
- Exercise 4.03: Performing Mean Imputation on the DataFrames
- Exercise 4.04: Performing Iterative Imputation on the DataFrame
- Splitting the Features
- Feature Selection with Lasso
- Activity 4.01: Feature Selection with Lasso
- Activity 4.01: Feature Selection with Lasso
- Summary
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5. Analyzing the Online Shopper's Purchasing Intention
- Overview
- Data Dictionary
- Exploratory Data Analysis
- Exercise 5.01: Analyzing the Distribution of Customers Session on the Website
- Region-Wise Distribution
- Exercise 5.02: Analyzing the Browser and OS Distribution of Customers
- Administrative Pageview Distribution
- Bivariate Analysis
- Exercise 5.03: Analyzing the Relationship between Revenue and Other Variables
- Linear Relationships
- Clustering
- Exercise 5.04: Performing K-means Clustering for Informational Duration versus Bounce Rate
- Performing K-means Clustering for Informational Duration versus Exit Rate
- Activity 5.01: Performing K-means Clustering for Administrative Duration versus Bounce Rate and Administrative Duration versus Exit Rate
- Activity 5.01: Performing K-means Clustering for Administrative Duration versus Bounce Rate and Administrative Duration versus Exit Rate
- Summary
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6. Analysis of Credit Card Defaulters
- Overview
- Importing the Data
- Exploratory Data Analysis
- Exercise 6.01: Evaluating the Relationship between the DEFAULT Column and the EDUCATION and MARRIAGE Columns
- PAY_1 versus DEFAULT
- Exercise 6.02: Evaluating the Relationship between the AGE and DEFAULT Columns
- Correlation
- Activity 6.01: Evaluating the Correlation between Columns Using a Heatmap
- Activity 6.01: Evaluating the Correlation between Columns Using a Heatmap
- Building a Profile of a High-Risk Customer
- Summary
- Survey II
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7. Analyzing the Heart Disease Dataset
- Overview
- Exercise 7.01: Loading and Understanding the Data
- Outliers
- Exercise 7.02: Checking for Outliers
- Activity 7.01: Checking for Outliers
- Activity 7.01: Checking for Outliers
- Exercise 7.03: Plotting the Distributions and Relationships Between Specific Features
- Activity 7.02: Plotting Distributions and Relationships between Columns with Respect to the Target Column
- Activity 7.02: Plotting Distributions and Relationships between Columns with Respect to the Target Column
- Exercise 7.04: Plotting the Relationship between the Presence of Heart Disease and Maximum Recorded Heart Rate
- Activity 7.03: Plotting the Relationship between the Presence of Heart Disease and the Cholesterol Column
- Activity 7.03: Plotting the Relationship between the Presence of Heart Disease and the Cholesterol Column
- Exercise 7.05: Observing Correlations with a Heatmap
- Summary
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8. Analyzing Online Retail II Dataset
- Overview
- Data Cleaning
- Exercise 8.01: Loading and Cleaning Our Data
- Data Preparation and Feature Engineering
- Exercise 8.02: Preparing Our Data
- Data Analysis
- Exercise 8.03: Finding the Answers in Our Data
- Activity 8.01: Performing Data Analysis on the Online Retail II Dataset
- Activity 8.01: Performing Data Analysis on the Online Retail II Dataset
- Summary
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9. Analysis of the Energy Consumed by Appliances
- Overview
- Exercise 9.01: Taking a Closer Look at the Dataset
- Exercise 9.02: Analyzing the Light Energy Consumption Column
- Activity 9.01: Analyzing the Appliances Energy Consumption Column
- Activity 9.01: Analyzing the Appliances Energy Consumption Column
- Exercise 9.03: Performing Feature Engineering
- Exercise 9.04: Visualizing the Dataset
- Activity 9.02: Observing the Trend between a_energy and day
- Activity 9.02: Observing the Trend between a_energy and day
- Exercise 9.05: Plotting Distributions of the Temperature Columns
- Activity 9.03: Plotting Distributions of the Humidity Columns
- Activity 9.03: Plotting Distributions of the Humidity Columns
- Exercise 9.06: Plotting out_b, out_hum, visibility, and wind
- Summary
- Survey III
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10. Analyzing Air Quality
- Overview
- Exercise 10.01: Concatenating Multiple DataFrames and Checking for Missing Values
- Outliers
- Exercise 10.02: Identifying Outliers
- Activity 10.01: Checking for Outliers
- Activity 10.01: Checking for Outliers
- Missing Values
- Exercise 10.03: Dealing with Missing Values
- Exercise 10.04: Observing the Concentration of PM25 and PM10 per Year
- Activity 10.02: Observing the Pollutant Concentration per Year
- Activity 10.02: Observing the Pollutant Concentration per Year
- Activity 10.03: Observing Pollutant Concentration per Month
- Activity 10.03: Observing Pollutant Concentration per Month
- Heatmaps
- Exercise 10.05: Checking for Correlations between Features
- Summary
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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 in-depth workshop in python. Goes over almost every topics but some topics could have a more detailed expla...
Read MoreVery 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.
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 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
Read LessSimple and straight-forward 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 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
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 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.
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 real-world and also provide wide-range of ...
Read MoreThis 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
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 Data Analysis Workshop
Unlock one year of full, unlimited access!