Intro to Data Science – Crash Course for Beginners



Learn the basic components of Data Science in this crash course for beginners.
If you want to learn more about data science after completing this course, check out Max’s Free Getting Started with Data Science Workshop: https://codingwithmax.com/webinar/data-scientist/

In this course for beginners, you will learn about:

1. Statistics: we talk about the types of data you’ll encounter, types of averages, variance, standard deviation, correlation, and more.

2. Data visualization: we talk about why we need to visualize our data, and the different ways of doing it (1 variable graphs, 2 variable graphs and 3 variable graphs.)

3. Programming: we talk about why programming helps us with data science including the ease of automation and recommended Python libraries for you to get started with data science.

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:10:52) Statistical Data Types
⌨️ (0:25:10) Types of Averages
⌨️ (0:38:55) Spread of Data
⌨️ (0:50:54) Quantiles and Percentiles
⌨️ (0:55:52) Importance of Data Visualization
⌨️ (1:05:14) One Variable Graphs
⌨️ (1:12:04) Two Variable Graphs
⌨️ (1:25:08) Three and Higher Variable Graphs
⌨️ (1:31:20) Programming

Course from Coding With Max. Check out the Coding With Max blog: https://www.codingwithmax.com/blog
Full data science course: https://codingwithmax.teachable.com/p/data-scientist-10-weeks

Learn to code for free and get a developer job: https://www.freecodecamp.org

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This Post Has 43 Comments

  1. Max Schallwig

    Hey everyone! This is Max from the course – thanks so much for checking it out. 🙂 We've got a ton of free resources over on the blog and my website at codingwithmax.com to help those of you who are curious or want to learn more.

    I hope this mini-course gives you a good basic insight into what the term 'data science' exactly entails, and I also hope it piques the curiosity in some of you to look into a career in data science!

    If you want to dive right into it, my full Data Scientist in 10 Weeks course can be found here: https://codingwithmax.teachable.com/p/data-scientist-10-weeks

    If you have any questions, please don't hesitate to let me know! I'll definitely hang around here and check for any questions or comments. 🙂

  2. Ray Penbar

    Awesome breakdown on this topic Max! I have my roots in physics as well and went into it-consulting a few years ago. I have been looking for good introductions on this topic. For me it was so much easier to follow the explanations coming from a physicist. Thanks for that!

  3. Anderson M90

    Quantitative Research Methodologies Q&A

    1. Evaluate the scope of quantitative research methodology comparing each method and critique each technique, model, metaphor, and paradigm. 200 words

    Ethnographic studies are commonly used in research methods. The model of ethnographic studies is based on the researcher following participants or subjects into their culture to gain more insight into cultural issues. A metaphor of an ethnographic study is following customers to their home to understand why they purchase a given product and not another. The three paradigms of ethnographic studies include behaviorist, semiotic, and holistic styles. Interviews and surveys are the specific techniques embraced in ethnographic studies (Park, & Park, 2016).

    The narrative method includes the use of two main techniques; interviews or collecting information from person’s documents that include diaries, memoirs, and other personal encounters narrative documents. The narrative is selected carefully to be a metaphor of the whole population, for instance, someone narrating how a calamity strikes their community might be narrative that can tell what the whole community experienced. The models of narratives can be spoken, written, or visually represented. The paradigm is that what one person experienced does not differ significantly from what the rest of the community experienced concerning the specific problem being analyzed (Park, & Park, 2016).

    The third methodology is the phenomenological study which embraces multiple techniques that include interviews, surveys, literature review, and others to describe phenomena. The main models embraced in the phenomenological study include purposive sampling and systematic sampling. The metaphor of this method is that the collection of data from varying sources will give a united theme and data relevant to understanding the phenomena. The paradigm, hereby, is that the collected data about a certain phenomenon will show common features about the phenomena (Park, & Park, 2016).

    The fourth method is grounded theory. It is closely associated with the phenomenological study in that it embraces the use of varying sources of information to develop a theme and collect data about phenomena. Its techniques, models, metaphor, and paradigms are similar to those of the phenomenological study (described in the paragraph above), but unlike phenomenological studies that look into the essence of an event or activity, the grounded theory seeks to give theories or explanations behind an occurrence or event (Park, & Park, 2016).

    The fifth quantitative research methodology is the case study method. This method looks into occurrences as they affected a subject or few subjects. The techniques in this method include a single subject case study or multiple subjects’ case studies. The models of inquiry may include interviews, observations, or literature review for past events case studies. This model has a paradigm that what happens to one person applies to other people with a similar problem in society (Park, & Park, 2016).

    2. Select the best quantitative method and assess the strengths and weaknesses of that selected method defending why the selected quantitative method is the best. 80 words

    The best qualitative method in my opinion is an ethnographic study. Given my interest in social science, I find that understanding the behavior of a given group through interacting with the group is the best model to use. Moreover, unlike case study design this method allows for interaction with a larger number of participants or subjects with similar concerns. Moreover, it is a method that develops a hypothesis that can be approved or disapproved by the research, unlike the phenomenological and grounded theory designs that look for common themes during the active research. One of the weaknesses of ethnographic studies is that it can consume a huge amount of time. The researcher can also be faced with great challenges fitting in with a new culture and gaining their trust after s/he declares interest to understand their cultural elements.

    3. Compare various quantitative methods and how each method enables researchers to design the correct series of questions and eventually hypotheses to prove the theories. 120 words

    The ethnographic study follows researchers into their cultural roots to understand their behavior. It is appropriate for cultural studies that aim to understand behavior such as consumer behavior. The narrative aims at gaining opinions from specific subjects, or their encounters concerning a certain problem. It closely relates to the case study design which also focuses on individual’s stories. These two methods can yield results in understanding people’s reactions to certain societal problems, for instance, the experiences that parents undergo after losing a job. The phonological studies and grounded theory methodologies are similar in many aspects including the fact that they seek a common theme from multiple sources of information such as interviews, literature, surveys, and other sources. However, the grounded theory seeks to explain or develop a theory describing a certain societal concern, while the phenomenological study looks into the essence of the societal concern of interest.

    The ethnographic study, case study, and narrative begin with preparations that include the identification of the societal problem, development of research questions, and a hypothesis that the study will either approve or disapprove. The phenomenological study and the grounded theory designs, on the other hand, have a planning process that only includes the identification of the problem and sources from which information will be obtained. These two quantitative methodologies develop a common theme in the field of study, which gives research questions to be responded to and maybe a hypothesis which is not mandatorily essential.

    4. Recommend best methods to solve different types of analysis and provide a table that outlines each method, what type variables are used, best applications, and what findings to expect. 100 words

    Descriptive analysis Predictive analysis Diagnostic analysis Prescriptive Analysis

    Recommended Method Case study, cross-sectional research, surveys, naturalistic observation, archival research, and longitudinal research Analytics techniques such as regression models, time series, and others. Case studies, questionnaires, interviews, surveys, and observations Mathematical learning and machine learning methods

    Types of Variables Descriptive variables such as “agree or disagree” Predictor variables; variables linked with certain outcomes such as regression variables Descriptive variables such as a scale of 0-10 in rating pain Both predictor and descriptive variables

    Best Application Understanding phenomena Extrapolation of past and current events into uncertain or future predictions Understanding personal outcomes such as feelings, opinions, and others Big data analytics essential in making an informed recommendation

    Expected Findings More understanding of the phenomena that has already occurred or is occurring Forecasts of what is to happen An understanding of personal outcomes Recommendations for courses of action

  4. Anderson M90

    Quantitative Research Methodologies Q&A

    1. Evaluate the scope of quantitative research methodology comparing each method and critique each technique, model, metaphor, and paradigm. 200 words

    Ethnographic studies are commonly used in research methods. The model of ethnographic studies is based on the researcher following participants or subjects into their culture to gain more insight into cultural issues. A metaphor of an ethnographic study is following customers to their home to understand why they purchase a given product and not another. The three paradigms of ethnographic studies include behaviorist, semiotic, and holistic styles. Interviews and surveys are the specific techniques embraced in ethnographic studies (Park, & Park, 2016).

    The narrative method includes the use of two main techniques; interviews or collecting information from person’s documents that include diaries, memoirs, and other personal encounters narrative documents. The narrative is selected carefully to be a metaphor of the whole population, for instance, someone narrating how a calamity strikes their community might be narrative that can tell what the whole community experienced. The models of narratives can be spoken, written, or visually represented. The paradigm is that what one person experienced does not differ significantly from what the rest of the community experienced concerning the specific problem being analyzed (Park, & Park, 2016).

    The third methodology is the phenomenological study which embraces multiple techniques that include interviews, surveys, literature review, and others to describe phenomena. The main models embraced in the phenomenological study include purposive sampling and systematic sampling. The metaphor of this method is that the collection of data from varying sources will give a united theme and data relevant to understanding the phenomena. The paradigm, hereby, is that the collected data about a certain phenomenon will show common features about the phenomena (Park, & Park, 2016).

    The fourth method is grounded theory. It is closely associated with the phenomenological study in that it embraces the use of varying sources of information to develop a theme and collect data about phenomena. Its techniques, models, metaphor, and paradigms are similar to those of the phenomenological study (described in the paragraph above), but unlike phenomenological studies that look into the essence of an event or activity, the grounded theory seeks to give theories or explanations behind an occurrence or event (Park, & Park, 2016).

    The fifth quantitative research methodology is the case study method. This method looks into occurrences as they affected a subject or few subjects. The techniques in this method include a single subject case study or multiple subjects’ case studies. The models of inquiry may include interviews, observations, or literature review for past events case studies. This model has a paradigm that what happens to one person applies to other people with a similar problem in society (Park, & Park, 2016).

    2. Select the best quantitative method and assess the strengths and weaknesses of that selected method defending why the selected quantitative method is the best. 80 words

    The best qualitative method in my opinion is an ethnographic study. Given my interest in social science, I find that understanding the behavior of a given group through interacting with the group is the best model to use. Moreover, unlike case study design this method allows for interaction with a larger number of participants or subjects with similar concerns. Moreover, it is a method that develops a hypothesis that can be approved or disapproved by the research, unlike the phenomenological and grounded theory designs that look for common themes during the active research. One of the weaknesses of ethnographic studies is that it can consume a huge amount of time. The researcher can also be faced with great challenges fitting in with a new culture and gaining their trust after s/he declares interest to understand their cultural elements.

    3. Compare various quantitative methods and how each method enables researchers to design the correct series of questions and eventually hypotheses to prove the theories. 120 words

    The ethnographic study follows researchers into their cultural roots to understand their behavior. It is appropriate for cultural studies that aim to understand behavior such as consumer behavior. The narrative aims at gaining opinions from specific subjects, or their encounters concerning a certain problem. It closely relates to the case study design which also focuses on individual’s stories. These two methods can yield results in understanding people’s reactions to certain societal problems, for instance, the experiences that parents undergo after losing a job. The phonological studies and grounded theory methodologies are similar in many aspects including the fact that they seek a common theme from multiple sources of information such as interviews, literature, surveys, and other sources. However, the grounded theory seeks to explain or develop a theory describing a certain societal concern, while the phenomenological study looks into the essence of the societal concern of interest.

    The ethnographic study, case study, and narrative begin with preparations that include the identification of the societal problem, development of research questions, and a hypothesis that the study will either approve or disapprove. The phenomenological study and the grounded theory designs, on the other hand, have a planning process that only includes the identification of the problem and sources from which information will be obtained. These two quantitative methodologies develop a common theme in the field of study, which gives research questions to be responded to and maybe a hypothesis which is not mandatorily essential.

  5. Business Opportunity in Ruvol

    I have invented a Board Game [still unpublished and not yet out in the market] that I believe is guaranteed to be as challenging and exciting as CHESS. I called it “RUVOL.”

    It is my hope that one day Ruvol may surpass chess as the “Number One Board Game in the World.”

    The weakness of chess is it always starts in fixed positions that the opening moves become “memorizable.” In fact, not a few have so mastered the moves that they can play against their opponents “blindfolded.” It is for this very reason that the great Bobby Fischer introduced his so-called “Fischer Random Chess,” where the starting position of the pieces is “randomized” to make the memorization of openings impracticable. Fortunately, it is also for this reason that I invented Ruvol where “every game” has been calculated to be a challenging one to play.

    HOW IS RUVOL PLAYED and HOW YOU CAN MONETIZE IT?

    I detailed everything in my YouTube video. Here is the link: https://www.youtube.com/watch?v=jcqth0m3-R0

    BIG MONEY POTENTIAL IN RUVOL!

    It is worthwhile to note that the people who play chess will be the same people who will play Ruvol. In my Google search, I learned there are around 800 million chess players in the world. Even just a small percentage of these 800 million is good enough to earn big money from Ruvol either as an ONLINE GAME BUSINESS or as a PHYSICAL PRODUCT DISTRIBUTOR.

    You may contact me at: rodolfovitangcol@gmail.com.

    Thanks and God bless!

    RODOLFO MARTIN VITANGCOL

    The Ruvol Inventor

  6. Fakruddin Ali

    Hai Max I want become data science plz help me I am a beginner I completed degree bsc

  7. Kerem Duran

    Are you sure that is a right example for 2d histogram?

  8. Dany Lemieux

    Adding a link to be able to download the slides can be good. Ty

  9. Opalista

    Nice mee too I'm learning data science after my bachelor degree in physics!!!

  10. Thank you so much Max !
    Crystal clear explananations about the basics of DS
    Congratulations

  11. lionking2424

    😂😂😂 hum..yah…I see the data goes up and down…that was funny!!!

  12. Salim Ali

    Before I go into this course,
    If all programming languages do not exist.. is data science still exists?
    In another way .. is pure data science independent of programming?

  13. And1 Roouf

    The Course should be called : Introduction to Statistics and not "Data Science"

  14. Ahmed Hasan

    24:10
    If you think at the molecular level, weight is probably discreet and not continuous

  15. Christian Max

    Hey guys, I am starting my journey in Data Science und like to connect with other people. My plan is to make a certified Course in Data Science with exercises for the portfolio. Anyone here likes to join that journey to share experiences and discuss some interesting topics? I am really happy for every joining guy 🙂

  16. poloconnor

    Hi Max, Very informative and interesting, Question, at 13:16 you talk about Continuous data and contrast every number from -infinity to +infinity (i.e. numerical infinity) with every number between "0" and "1", however, can those numbers be equally infinite as subdivisions can be infinite?

  17. Eddy Kohlmann

    This looks like basic maths to me. What's the difference between Statistics and Data Science?

  18. Andrea Garcia

    What can be the “data” can someone give an example? I understand it can be anything but like what? A persons personal info or what

  19. LalinOwl

    Really solid content. Wish I'd seen this before I've graduated lol

  20. Roshy Roshy

    دى البرامج وممكن حضرتك تضيف
    Ai
    Machine learning
    robotics engineering
    Big dataبيانات الضخمة
    هندسة برمجيات
    Analysis with sql
    البلوك تشين
    Introduction to data science

  21. Healthy Andrew

    I don't know how I would apply this. How many years does one need to study to apply for work?

  22. Very helpful video – we can also recommend to study Applied Data Science at MU Vienna – small class sizes and great professors! Check out our curriculum.

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