大數據分析要學習什么

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

利用來自數據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.

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

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.

數據不再僅限于科技公司。人壽保險機構，酒店和產品管理公司等各種企業現在都在使用數據來制定更好的營銷策略，改善客戶體驗，了解業務趨勢或僅收集有關用戶數據的見解。

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.

在當今快速發展的世界中，至關重要的是，我們必須分析生成的數據并提供洞察力，以做出更好的業務決策。

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，每天創建2.5億個字節的數據，我從先前的一些隨機讀取中知道，只有0.5％的生成數據得到了分析！現在，這是一個令人難以置信的統計數字。

Some say:

有人說：

Data is the Future

數據就是未來

Fuel for the 21^st Century
燃料21 ^世紀

Career of Tomorrow

明天的事業

Driving Force for Businesses

企業動力

Data is the new frontier

數據是新領域

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據。從大型跨國公司到小型企業。研究和了解業務趨勢的需求從未如此迫切。

Now is the time for Data!

現在是時候使用數據了！

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，隨著生成的數據量(以zettabytes為單位)的精確性，數據和相關技能的價值開始上升，從而為數據分析師創造了更好的工作機會和職業選擇。現在，這是開始進入大數據分析世界的絕佳時機

數據分析 (Data Analytics)

So, what exactly is Data Analytics?

那么，數據分析到底是什么？

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.

數據分析專注于從原始數據得出有見地的結論。數據分析的許多技術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據進行處理以供人類使用。

At its heart, analytics is all about solving problems.

從本質上講，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！

學習數據分析的5個理由 (5 Reasons to Learn Data Analytics)

1.數據分析現在是頂級組織的優先事項 (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.

隨著業務競爭的加劇，經濟形勢的僵化以及業務驅動型決策的制定，頂級企業現在必須轉向數據分析來識別新的市場機會，用于改善業務的口袋，改進的服務和產品以及與競爭對手相比的業務。

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％的頂級組織將數據分析視為其業務績效的非常關鍵的組成部分。業務績效通過分析來衡量。這意味著數據專業人員通常會對公司政策，決策和營銷策略產生巨大影響

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力。通常，缺乏決策權會使工作變得不盡如人意，就像偉大企業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，作為數據分析專家，您是公司決策的核心。實際上，您將成為業務決策和未來戰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:

數據分析專業人員可以選擇廣泛的職位和領域。由于當今幾乎在所有地方都使用大數據，因此您可以選擇成為：

Metrics and Analytics Specialist

指標和分析專家

Data Analyst

數據分析師

Big Data Engineer

大數據工程師

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

數據分析顧問

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.

數據才是真正的慷慨之王。需求增加而供應減少意味著數據專業人員很有價值。

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.

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

5.眾多行業開放 (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，數據分析師并不局限于兩個行業領域，它們的貢獻跨越了整個行業。

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.

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

"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."

“能夠查看各種數據并得出結論，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.

數據分析師的角色是，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做出正確的決定，實現其真實目標，實現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.

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

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，是一名數據分析師，用戶體驗分析師和顧問，一名技術發言人和一名Blogger！她希望組建一個組織，將從事商業活動的婦女與豐富的資源聯系在一起，以對工作和世界保持無畏和熱情。隨時在這里給她留言！