大數(shù)據(jù)分析要學習什么

The opportunity to leverage insights from data has never been greater.

利用來自數(shù)據(jù)的洞察力的機會從未如此大。

Humans tend to generate a lot of data each day - from heart rates to favorite songs, fitness goals and movie preferences. You find data in each drawer of business.

人類每天往往會產(chǎn)生大量數(shù)據(jù)-從心跳到喜歡的歌曲，健身目標和電影喜好。 您可以在每個業(yè)務抽屜中找到數(shù)據(jù)。

Data is no longer restricted to just technological companies. Businesses as diverse as life insurance agencies, hotels, and product management companies are now using data to make better marketing strategies, improve customer experience, understand business trends or just collect insights on user data.

數(shù)據(jù)不再僅限于科技公司。 人壽保險機構(gòu)，酒店和產(chǎn)品管理公司等各種企業(yè)現(xiàn)在都在使用數(shù)據(jù)來制定更好的營銷策略，改善客戶體驗，了解業(yè)務趨勢或僅收集有關(guān)用戶數(shù)據(jù)的見解。

In the rapidly expanding world of today, it is essential that we analyze the generated data and provide insights for a better-decision making in the business.

在當今快速發(fā)展的世界中，至關(guān)重要的是，我們必須分析生成的數(shù)據(jù)并提供洞察力，以做出更好的業(yè)務決策。

Forbes says there are 2.5 quintillion bytes of data created each day and I know from some prior random read that only 0.5% of the data being generated is analysed! Now, that is one mind-boggling statistic.

福布斯說，每天創(chuàng)建2.5億個字節(jié)的數(shù)據(jù)，我從先前的一些隨機讀取中知道，只有0.5％的生成數(shù)據(jù)得到了分析！ 現(xiàn)在，這是一個令人難以置信的統(tǒng)計數(shù)字。

Some say:

有人說：

Data is the Future數(shù)據(jù)就是未來

Fuel for the 21^st Century

燃料21 ^世紀

Career of Tomorrow明天的事業(yè) Driving Force for Businesses企業(yè)動力 Data is the new frontier數(shù)據(jù)是新領(lǐng)域

All of these hold true!

所有這些都成立！

In fact, everything today depends on data; from big multinationals to small businesses. The urge to study and understand trends in the business has never been so in demand.

實際上，今天的一切都取決于數(shù)據(jù)。 從大型跨國公司到小型企業(yè)。 研究和了解業(yè)務趨勢的需求從未如此迫切。

Now is the time for Data!

現(xiàn)在是時候使用數(shù)據(jù)了！

With the abundance of data being generated today to be precise in zettabytes, the value of data and related skills primarily go up, creating better job opportunities and career options for data analysts. This makes NOW the perfect time to start a journey into the world of big data analytics

如今，隨著生成的數(shù)據(jù)量(以zettabytes為單位)的精確性，數(shù)據(jù)和相關(guān)技能的價值開始上升，從而為數(shù)據(jù)分析師創(chuàng)造了更好的工作機會和職業(yè)選擇。 現(xiàn)在，這是開始進入大數(shù)據(jù)分析世界的絕佳時機

數(shù)據(jù)分析 (Data Analytics)

So, what exactly is Data Analytics?

那么，數(shù)據(jù)分析到底是什么？

Data Analysis concentrates on making insightful conclusions from raw data. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.

數(shù)據(jù)分析專注于從原始數(shù)據(jù)得出有見地的結(jié)論。 數(shù)據(jù)分析的許多技術(shù)和過程已被自動化為機械過程和算法，這些過程和算法對原始數(shù)據(jù)進行處理以供人類使用。

At its heart, analytics is all about solving problems.

從本質(zhì)上講，分析就是解決問題。

I can write pages of definition on Data Analytics and there are many websites speaking the same. So, without further ado, let's quickly jump to read what makes Data Analysis a good-to-know skill in 2019!

我可以在Data Analytics上編寫定義頁面，并且有很多網(wǎng)站都使用相同的定義。 因此，事不宜遲，讓我們快速閱讀一下什么使Data Analysis在2019年成為了一個眾所周知的技能！

學習數(shù)據(jù)分析的5個理由 (5 Reasons to Learn Data Analytics)

1.數(shù)據(jù)分析現(xiàn)在是頂級組織的優(yōu)先事項 (1. Data analytics is now a priority for top organizations)

With increased business competitions, stiffening economics, and business-driven decision making, top organizations have now to turn to data analytics to identify new market opportunities, pockets for improved business, improvement in services and products, comparison to competitors for their business.

隨著業(yè)務競爭的加劇，經(jīng)濟形勢的僵化以及業(yè)務驅(qū)動型決策的制定，頂級企業(yè)現(xiàn)在必須轉(zhuǎn)向數(shù)據(jù)分析來識別新的市場機會，用于改善業(yè)務的口袋，改進的服務和產(chǎn)品以及與競爭對手相比的業(yè)務。

As things stand today, 77% of top organizations consider data analytics a very critical component of their business performance. Business Performance is measured by analytics. What this means is that data professionals in general have a huge influence on company policies, decisions and marketing strategies

如今，77％的頂級組織將數(shù)據(jù)分析視為其業(yè)務績效的非常關(guān)鍵的組成部分。 業(yè)務績效通過分析來衡量。 這意味著數(shù)據(jù)專業(yè)人員通常會對公司政策，決策和營銷策略產(chǎn)生巨大影響

2.您將成為公司決策的核心 (2. You will be at the core of decision-making in the company)

One of the most sought after job expectations is the power to make decisions. Often, lack of decision-making power makes a job dissatisfying like just another cog in the great corporate wheel.

最高期望的工作期望之一就是做出決定的權(quán)力。 通常，缺乏決策權(quán)會使工作變得不盡如人意，就像偉大企業(yè)輪盤中的另一個齒輪一樣。

However, as a data analytics professional, you are at the core of decision-making for your company. In fact, you will be an integral part of business decisions and future strategies, because you study trends, you provide meaningful insights on future scope of improvement, thus giving you an important role and purpose within the organization.

但是，作為數(shù)據(jù)分析專家，您是公司決策的核心。 實際上，您將成為業(yè)務決策和未來戰(zhàn)略不可或缺的一部分，因為您研究趨勢，就未來的改進范圍提供了有意義的見解，從而在組織中發(fā)揮了重要的作用和宗旨。

3.您將有各種職務選擇 (3. You will have various job titles to choose from)

A data analytics professional has a broad range of job titles and fields from which to choose. Since big data is used almost everywhere today, you can choose to be a:

數(shù)據(jù)分析專業(yè)人員可以選擇廣泛的職位和領(lǐng)域。 由于當今幾乎在所有地方都使用大數(shù)據(jù)，因此您可以選擇成為：

Metrics and Analytics Specialist指標和分析專家 Data Analyst數(shù)據(jù)分析師 Big Data Engineer大數(shù)據(jù)工程師 Operation Analyst運營分析師 Sales Analyst銷售分析師 Financial Analyst金融分析師 Marketing Analyst市場分析師 Data Analytics Consultant數(shù)據(jù)分析顧問

I personally love Financial Analysis! :P

我個人喜歡財務分析！ ：P

4.高薪和更多工作機會 (4. Good Pay and More Job Opportunities)

Data is the real generous king. More demand and less supply mean that data professionals are valuable.

數(shù)據(jù)才是真正的慷慨之王。 需求增加而供應減少意味著數(shù)據(jù)專業(yè)人員很有價值。

I cannot stress enough on the amount of opportunities that open with data and its analysis. Companies now concentrate on comprehensively incorporating data analysis in the business cycle. Just as a business cannot create a remarkable brand experience without social media, business performance evaluation is incomplete without data analysis.

我對數(shù)據(jù)及其分析所帶來的大量機會沒有足夠的壓力。 公司現(xiàn)在專注于在業(yè)務周期中全面納入數(shù)據(jù)分析。 正如沒有社交媒體就無法創(chuàng)造卓越的品牌體驗一樣，沒有數(shù)據(jù)分析也無法完成業(yè)務績效評估。

5.眾多行業(yè)開放 (5. Large number of industries open)

Well, it is pretty clear that data analysts are not confined to a couple of industry segments - their contribution spans the entire industry verticals.

好吧，很顯然，數(shù)據(jù)分析師并不局限于兩個行業(yè)領(lǐng)域，它們的貢獻跨越了整個行業(yè)。

The transition to Data Analysis is smooth. There is no specific domain; data analysts work for everyone. McDonalds to IBM to Walmart to Estee Lauder. So you can work in any domain of your choice. It could be in an industry verticals like finance, manufacturing, information technology, communications, logistics, retail, automobile, and the whole nine yards. This is the reason choosing the right data analytics training can make all the difference.

到數(shù)據(jù)分析的過渡很順利。 沒有特定的域； 數(shù)據(jù)分析師為每個人工作。 麥當勞到IBM，沃爾瑪?shù)紼stee Lauder。 因此，您可以在自己選擇的任何領(lǐng)域工作。 它可能處于垂直行業(yè)，例如金融，制造，信息技術(shù)，通信，物流，零售，汽車以及整個九碼。 這就是選擇正確的數(shù)據(jù)分析培訓可以發(fā)揮所有作用的原因。

"Being able to look at various pieces of data and draw a conclusion is probably the most valuable skill for any employee to have, and surprisingly it's something that's too often missing from otherwise technically advanced employees."“能夠查看各種數(shù)據(jù)并得出結(jié)論，可能是任何員工擁有的最有價值的技能，而且令人驚訝的是，如果不是其他技術(shù)先進的員工，通常就會缺少這種技能。”

尾注 (Ending Notes)

The role of a data analyst is one wherein you make a major difference to the organization you work for. It is about taking pride in the fact that you help the business make correct decisions, achieve its true goals, fulfill the mission and vision.

數(shù)據(jù)分析師的角色是，您可以為所工作的組織帶來重大影響。 它以您可以幫助企業(yè)做出正確的決定，實現(xiàn)其真實目標，實現(xiàn)使命和愿景這一事實為榮。

Data is the holy grail of today’s world. Data has the power to help any company find its true calling, so it is the job of a data analyst to decipher the data to such an extent that rest of the organization’s departments will directly benefit from this true gift of yours.

數(shù)據(jù)是當今世界的圣杯。 數(shù)據(jù)有能力幫助任何公司找到其真正的使命，因此數(shù)據(jù)分析師的職責是解密數(shù)據(jù)，以使組織的其他部門可以直接從您的這份天賦中受益。

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認識你的作者 (Know your author)

Rashi is a graduate student and a Data Analyst, User Experience Analyst and Consultant, a Tech Speaker, and a Blogger! She aspires to form an organization connecting the Women in Business with an ocean of resources to be fearless and passionate about the work and the world. Feel free to drop her a message here!

Rashi是一名研究生，是一名數(shù)據(jù)分析師，用戶體驗分析師和顧問，一名技術(shù)發(fā)言人和一名Blogger！ 她希望組建一個組織，將從事商業(yè)活動的婦女與豐富的資源聯(lián)系在一起，以對工作和世界保持無畏和熱情。 隨時在這里給她留言！

翻譯自: https://www.freecodecamp.org/news/why-should-you-learn-data-analysis/

大數(shù)據(jù)分析要學習什么

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