A Beginners Guide To The Data Analysis Process

[@careerfoundry]

Want more Data Analytics content? Subscribe to our channel: kzbin.info . Let us know which area of the data analysis process you’d like a deeper dive on! If you’re interested in getting started in data analytics, CareerFoundry has a free short course to get you started. Sign up here: bit.ly/GetStartedInDataAnalytics

[@charlsvpieus7380]

is there any other way i can contact u

[@erikhopkins9488]

I'm currently completing a data analysis now. where was this information about a week ago?

[@GJSHEARER68]

Thank you . Very informative

[@badmustunde6508]

I just signed up for the free course? I will love to see also SQL & Power BI?

[@bigman7856]

Can’t tell you how unbelievably helpful this is. So many videos about data analytics and job explainers tend to phrase data analytics as “just doing it”. Almost like 90s and early 2000s movie hackers that type randomly in a black and green terminal to take down a massive security system. All we are told and shown about data analytics is the representation portion of it.

[@screenshotofwords7839]

This really allowed my fear of data to melt away. Presented so thoughtfully and clearly. Thank you.

[@pchougle]

I have gone through many introduction videos on data analysis on KZbin but yours was the best and simplest video. Very well explained and easy to understand.

[@careerfoundry]

Thank you! We're always glad to hear our content resonated with the viewer! Stay tuned for more videos on data analytics in the next few weeks!

[@Rojoyerf]

This is absolutely brilliant. This and your 'introduction to data analysis' video have not only been presented as fun and engaging but have gotten me invested in a subject that I previously thought of as dull and boring. Not only that but you've also shone a light on how useful these cross-disciplinary skills are to me. Thanks, I hope to learn more about this field in the near future :)

[@VictoriaMmezichukwu]

Please I want to begin data analysis from the beginning. Seeing this video is awesome.

[@munaibrahim5629]

You should consider teaching at universities 👏🏼 super simple, clear, right to the point and without extra bla bla bla that we see on youtube. Appreciate your time and effort.

[@ceyda7462]

I used a competitor analysis strategy to grow my business, it was important for me to research what I could do to stay ahead of my competitors. I discovered competitor analysis tools, I use WASK's competitor analysis tool and I even recommend it. Competitor analysis is a good strategy in my opinion.

[@badmustunde6508]

I can't believe i finally stumbled on the very REAL thing i have being seeking for a very long time. I just watched Agatha KZbin tutorial which led me to this platform. I wish i have come across this in my data analysis journey. In fact, i have downloaded ALL your tutorials to watch step by step. I can't wait to land my first data analysis role soon. Thanks

[@알찬예나-u3h]

it was a video that easily summarized the data analysis process. Define the first question in the data analysis process. Second, collect data. Third, organize the data. Fourth, analyze the data. I share the fifth result

[@HappinessEke-n6z]

Still an undergraduate of Biochemistry, confused and thinking of what the future holds. Was searching through chrome and cane across google data analytics. I had to come to KZbin to see videos of what data analytics entails. I love the way you make your videos comprehendible. Hopefully, as i take up this journey in data analytics, i know your videos are gonna help me understand the basis as a beginner ❤❤

[@Soulbloom1]

I'm a hyper-scrutinizer, judging things at a granular level. I also love charts and tables and have been pinning to take an excel course. But I'm a woman, and an outgoing "people person" so I don't think of myself as a tech person. However, I think I just found my career pivot out of teaching. Sign me up; kind of excited!

[@herikpanchal614]

was my pleasure to see this insightful video regarding the data analysis, best summarized video i have ever watch on the youtube.

[@careerfoundry]

Thanks for the high praise! We really appreciate it! Stayed tuned to the channel for more content on data analytics very soon!

[@edmandell3064]

Between: coding, analyzing, theory, and presentation. This position really seems like you can move into a a management role or Project manager role? Seems like you wear a lot of hats.

[@DeNay25]

This video is so helpful. I want to get into data analytics for my hospitality field. I love that you defined the mindset of an data analyst and the tools you need. Thanks

[@azamatomirzakov2952]

CareerFoundry a day or two ago, and so far the way they teach along with the tutor and mentor way is unique and brilliant :) My program for Data Analysis will start on 30th January, very excited and looking forward to achieving lots of progress in my beginner career path. I really like the way you explain and already have watched many of your tutorial videos, BIG thanks to you Will for the effort and inspiration you give to those who wanna have some changes in their life like me.

[@stacydernogas8841]

How did the course go? Did you find that it helped your job prospects?

[@GulmiraZhandauova]

Здравствуйте, Азамат! Видела ваше видео про Канаду и надеюсь вы добились своей цели! Итак вопрос про этот буткэмп. Как я поняла Вы взяли их платный курс, как сложилось с работой?

[@michaelnwosu7203]

How is the journey going?

[@modupeoje9769]

Yes your content is rich, your presentation is arresting! It took away my sleep. Good one! Like to see more of you

[@danielmseptember8762]

Clear and concise. You are a god-send. Bless you!

[@DM-su6li]

Great video. Thank you for providing the names of the tools we can use, so many ppl leave that info out.

[@careerfoundry]

You're welcome, glad the video is helpful! Stay tuned for more data analytics content very soon!

[@dara_1989]

😘 exactly d type of vid i was looking for .... i have a data analysis exam n i can't do without vids ❤️❤️❤️👍👍

[@adenikeomogenaija]

A "comprehensive summary" 😀, thank you!

[@careerfoundry]

You're welcome! Glad you liked it!

[@christbryannokamfotso3252]

Thank you for your video. My question is going to be about data analysis. You presented some techniques: univariate or bivariate analysis, time-series analysis and then you said that all these types of analysis can be found in the 4 types of analysis: descriptive, diagnostic, predictive and perspective. I am new to this field and I am working on a project and I have already cleaned the data and I am at the analysis stage. I have two questions that I would like to clarify: 1. At the analysis stage, do I have to apply the 4 types of analysis you presented? 2. What are the actions to be taken to do each of these 4 types of analysis? Meaning these are the technics to perform a descriptive, diagnostic, predictive and perspective analysis. If you have a video that shows how to apply each of these types please link. Thank you.

[@learnerlearner9200]

Your content and your presentation are great. Continue to give us more details .why not design a complete professional training?

[@yodilfreyratnayaka6268]

Great video bro- I'm new to data analysis. This is fantastic intro. Thanks!

[@charlesneri4226]

do you have an actual free demonstration on how to work as a data analyst or some projects of data analyst?

[@mermaidalone7826]

Thank you for your video! Would please tell me what is the role of data processing? Is the same as data cleaning?

[@BenJecklin]

That video answered all my questions thank you

[@fridayonuyayusuf4732]

Very insightful. Thank you so much

[@careerfoundry]

You're welcome! Glad you enjoyed it!

[@estherfri2467]

Thanks alot. Please more data analysis content.

[@vivekduseja2982]

this is absolutely brilliant video! how you make easy concept of data analyst and you cleard full concepts and road map and define every and each step!!! this is really helpful video and even non technical students can easily understand

[@sqlchannel]

Great synopsis of information. My SQL Continuing Education students often have questions on getting started in data analytics.

[@francishubertovasquez2139]

Analyzing data I think depends if your focus is precise analytics or time table analytics like market health for a week or so in connection with world events and the anticipated contractions and speculations and of course your products per clients demands. Like for example having 3d printers for various quick product creation as they filled up on the system their desired product to purchase for a survey at the next door their product is ready. Something like that.

[@KahaaniyanCalling]

This is great. Loved it

[@dimenacevski93]

Men you rock:) The best explanation on KZbin for this topic!

[@careerfoundry]

Thanks, glad you think so!

[@SuperSoprano111]

I'm a teacher of English and I want to learn data analysis skills.

[@anubhavkundu220]

Go learn then

[@overtherainbowrockysky9318]

Go go go🎉

[@amarachiemenike7085]

I'm happy to join this lesson. I'm a beginner in SAS, I need assistance. Thanks.

[@sharfaafzal]

Thank You so much SIR 😊

[@ixkauzo5032]

in what step do we build ML modules of the collected data

[@zubaidashamim3859]

Thanks a lot for sharing brilliant ideas.

[@tarikelhatimi7685]

Hi there, can you suggest me a video of a data analysis process example start for defining the right problem and questions, prepare and collect data ( examples of forms, ways to collect data) then cleaning formatting data and analyse it, creating a well organized presentation to share with stakeholder.

[@ifeoluwaoyediran2997]

This is extremely brilliant

[@sunny-danielsakonjom9566]

very simple and interesting content, kudos

[@kathleencaparro5485]

Can I be a data Analyst even if I don't have any pre-requisite courses like Engineering or IT? My background is Nursing and Administrative Professional. :(

[@NishaUchil]

Yes

[@lugia8888]

@@noahjaybee It does matter. It makes it much easier for entry and higher level roles of course. It doesn’t mean you can’t get into a role without a degree, however.

[@ChampionsAriseDevotional]

Yes definitely you can

[@JJDK485]

You can. Good news is you don't really need a degree to work in this field 😊

[@JJDK485]

@@lugia8888 you're just being negative, my friend!

[@aneumbonghoazekeng8093]

A concise presentation. Great!

[@jatinharitsh4563]

visualization is great but communication is the key 👍🤔

[@ThePlugTurtle]

I prefer the old school way, a good abacus can work wonders with the right fingers.

[@CM-jn3wp]

I think the communication field scares me now. So much to learn.

[@davidgamilk2427]

I guess my question is not the best to be asked here. For those who started from scratch, which source of knowledge is the best helpful in this field?

[@monarchabuka3980]

At what stage do you use python, SQL, Excel, R, etc

[@sadiqybababa]

Pls, I'm a postgraduate student of business administration, I need your advice on the type of websites to follow in order to obtain relevant questinares and articles for my research. Thank you, in anticipation of your kind response.

[@PianoandCoffee]

Great video with really useful information. The only thing that seemed odd to me was that you didn’t mention Microsoft Power BI, being the leading software for data visualization in the world!!!! Come on!!

[@spandansarkar2324]

Can we use Power BI to do this instead of salesforce ?

[@GiggityNarutoGames]

How long does this process take on average?

[@MathewMargolis-qe6hz]

Wow. Well done old chap‼️🚩

[@dara_1989]

data sources : first hand , 2nd person & third party data

[@datesgonewrong]

Love your channel

[@soomelamoosamoghadam9286]

this video is dope ! THANK YOU !

[@markkaddu3515]

i have finished feeding data in my spss, however i am stuck at that point, i mean what next , with the data analysis

[@mmd3003]

Very informative. Great video. Thumbs up.

[@hartinggarth]

Most excellent bloke!

[@careerfoundry]

Thanks, Garth!

[@Sasha-vh8ii]

Thank you so much, this video was great!

[@ednab.1873]

Can hear of qualitative and quantitative methods. Can I be a data analyst with degree in sociology?

[@michaelodufuwa4055]

Am a marketer, what area did I need to concentrate as data analyst sir

[@nadiaabbas4792]

Great job, will!

[@broccolihighkicks3857]

What, Why, Will? & Recommendations

[@almostnoodles]

Good video overall but I think there might be a misunderstanding in what a DMP is and whether you need one to do general data analysis. 4:53 “One thing you’ll need, regardless of industry or area of expertise, is a data management platform” - As someone whose worked in analytics in several MNCs and tech unicorns, I disagree. DMPs today aren’t tools that you use to literally manage data. Rather, they typically help to prepare and send your company data to ad exchanges or to advertisers directly. You don’t need DMPs just to put your data together… Whether you need one is indeed dependent on your industry and area of expertise.

[@taz2392]

Do you need to know Python?

[@davidzhong]

This guy knows stuff

[@careerfoundry]

Thanks!

[@learningwithwarner5298]

Sir from where we can get professional certificate related to the field of data analysis ?

[@danish4995]

Very helpful video 👍🏻

[@elvirareyna5082]

i am planning to get a macbook but second hand. do you think a macbook pro 16 inch 8 core intel I9 2.3 Ghz with 64 GB Ram will be good for using those softwares and work later on as a data analyst. Thank you

[@od2437]

Thank you!

[@mohammadkhan1699]

Nice presentation

[@SheilaBrown-t8d]

Very help

[@Lushposh92]

Please I want to learn Data Analysis as a course

[@Styled_by_yioks]

Very insightful

[@careerfoundry]

Thanks, glad you found it helpful!

[@OhueThomas]

ATLEO. from Nigeria.

[@jasonyang9178]

what a great video Thanks for sharing

[@careerfoundry]

You're welcome, glad you enjoyed it!

[@buildingmaterials4298]

Will ai be able to do this process?

[@smartmgbachi9173]

Thank you so much. This is so helpful

[@ilyasg6660]

Hi, do you know what degree i should take to get a job in data analysis?

[@basharatat9995]

thanks

[@nella5296]

Where can I learn data analysis

[@ghulamakbarsoomro3112]

very excellent

[@mohammadbuhamad7744]

Upload data on a website, that could be privacy breach for some

[@karennguyen7083]

Video is great, thank a lot ^^

[@careerfoundry]

You're welcome! Glad you liked it!

[@Aliyuadambaba]

I'm statistics by my course I want to be a professional on data analysis

[@onyebuchiblog]

I want to work on seed germination in plastic polluted soil, hope I can get a hint. I'm a climate tech Entrepreneur

[@ajmercado219]

please give us the installer of SQL and Phyton, google data sheet and POWER BI . I want to learn more . Please Responce

[@careerfoundry]

Thanks for your feedback! More instructional videos around the topics you outlined are already in the plans, so stay tuned!

[@voengi]

thank you oh my god

[@AlishaBhullar_]

I want to be a data analyst

[@toluwalopeogunsiji1013]

Trifacta Wrangler is another type of data scrubbing tool

[@airemargalloniga]

Statement of the problem

[@airemargalloniga]

Why sim card so not safe

[@francishubertovasquez2139]

Not actually manipulating them but you have to have something in your company that can attract them like company offerings such as offering them the benefits of working with your company by some products patronage as the idea but not stating to them first as they grab the nectar they propagate the seeds, instead of buy a high ticket item or two and you will have these extra gadget thing for example reverse the idea but dont give the product yet, like create some attractive conditions such as business membership or something or to much better be a business partner.

[@SheilaBrown-t8d]

I mean helpful

[@harshitasharma8099]

Nice thumbnail

[@sabrina2780]

Is the background music really necessary in the videos? It is a bit distracting and competes with the presenter's voice.

[@deverlyrule1370]

A mi alone nuh understand nth🤨

[@thadz2493]

How the fuck do I excel quali data

[@chrisgerrard6243]

The steps provided are pretty much standard boilerplate "how-to-do analytics." They have the benefit of being part of the common analytics paradigm. However, being part of the paradigm, they get the process pretty much completely wrong. For starters, the question: "why are we losing customers" is a poor choice, particularly in a basic of analytics orientation; this question is pretty much open-ended and ultimately unable to be completely answered - there's simply no way to completely identify, enumerate, and evaluate all of the factors involved in customers being lost. It even begs the question: what does it mean to "lose" a customer? The even bigger problem with this framing is that analyzing data is deferred until step four. This is complete and utter foolishness. Data analysis is, and must always be, the first step in any data analysis effort. It's impossible to understand anything without analyzing the data, even whether or not the data is relevant to one's concern.

[@Matrix_handle]

You people talk too much, show examples and works