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在what is data analytics這個產品中，有27篇Facebook貼文，粉絲數超過6萬的網紅Dr Mohd Daud Bakar - Shariah Minds - Minda Syariah，也在其Facebook貼文中提到， A.I. On People This is my favorite application of A.I. The most important factor of success or failure throughout history is human. Us. We need to u...
　同時也有10000部Youtube影片，追蹤數超過2,910的網紅コバにゃんチャンネル，也在其Youtube影片中提到，...

what is data analytics 在 Dr Mohd Daud Bakar - Shariah Minds - Minda Syariah Facebook 的最佳貼文

Dr Mohd Daud Bakar - Shariah Minds - Minda Syariah By Dr Mohd Daud Bakar - Shariah Minds - Minda Syariah

2021-07-06 12:08:48 有 79 人按讚
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A.I. On People

This is my favorite application of A.I. The most important factor of success or failure throughout history is human. Us.

We need to understand 'us' before understanding other verticals.

What can A.I. do?

Artificial Intelligence is transforming the world in dramatic ways and is poised to bring even more sweeping changes that will affect all fields of human endeavour-from social interactions, consumer purchasing and healthcare to international relations and military operations.

Increasingly, politicians and businesses study people's perspectives using A.l.-powered data analytics and then accommodate their views to those of the citizens and consumers in order to gain more supporters for their cause. One of the greatest skills is the ability to attract people by demonstrating his or her interest in them and genuinely trying to understand the worldview.

We have seen how studying people's perspectives by employing Al techniques and then modifying their views help to gain more supporters. Politics-wise, Barack Obama's 2012 presidential campaign, Narendra Modi in 2014, Donald Trump in 2016 are all prime examples of how artificial intelligence can be a successful tool in politics.

Find out in this webinar how these are done i.e. the techniques that are being deployed; and how beyond political fields, these can be used by policy makers, corporations, research, traders, retailers, trade associations and business chambers, as well as media companies to manage their engagement with their stakeholders in the market place or community.

Join us this coming Friday at 11am Malaysian time. Please kindly register to see human from A.I insights.

(By the way, I have already applied A.I. on my personality. Awesome. Both good and not-so-good insights are being exposed).

MDB
Chairman of MyFinB (Malaysia).

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Pengerusi Eksekutif Amanie Group, Presiden IIUM ke 8, Pengerusi Majlis Penasihat Syariah Bank Negara
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what is data analytics 在 BorntoDev Facebook 的最佳解答

BorntoDev By BorntoDev

2021-06-25 15:00:09 有 129 人按讚
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👋 สวัสดีจ้าาา วันนี้แอดจะพาเพื่อน ๆ มาทำความรู้จักกับ Data Lakes กันน !! มันคืออะไร สำคัญยังไง มาหาคำตอบไปพร้อม ๆ กันเลยจ้าาา
.
📑 Data Lakes - เป็นศูนย์รวมการเก็บข้อมูลจากทุก ๆ แหล่ง สามารถเก็บข้อมูลแบบ Structured หรือ Unstructured ก็ได้ ไม่ต้องเปลี่ยนแปลงข้อมูลก่อนการจัดเก็บ และสามารถดึงข้อมูลมาใช้ได้อย่างรวดเร็ว โดยข้อมูลเหล่านี้จะนำมาใช้ในการวิเคราะห์, สร้าง Dashboard, รวมไปถึงการประมวลผล Big Data และ Machine Learning
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🌈 Data Lakes พัฒนาเพื่อลบข้อจำกัดของ Data Warehouse แม้ว่า Data Warehouse จะช่วยให้ธุรกิจมีการวิเคราะห์ข้อมูลที่มีประสิทธิภาพสูง แต่มันก็ยังมีข้อจำกัดในเรื่องของราคาและเรื่องการปรับขนาด ซึ่งมันจะทำให้เสีย Cost ตรงนี้มากขึ้น ซึ่งเจ้า Data Lakes เป็นสถาปัตยกรรมที่ทันสมัยกว่า เก็บข้อมูลไว้ที่ศูนย์กลาง โดยไม่ต้องกำหนดโครงสร้างของข้อมูล รองรับข้อมูลได้หลากหลาย มีความสามารถในการปรับขนาดได้ มีความทนทานสูง และต้นทุนต่ำกว่า เหมาะกับการนำไปทำ Machine Learning มากกว่า
.
✨ ประโยชน์
- สามารถจัดเก็บข้อมูลแบบไม่มี Schema ได้ เมื่อข้อมูลถูกอ่านระหว่างการประมวลผลจะถูกปรับให้เป็นข้อมูลที่มี Schema ตามที่จำเป็น ซึ่งมันจะช่วยประหยัดเวลาไปเยอะเลยนั่นเอง
- สามารถเข้าถึงข้อมูล จัดเตรียม และวิเคราะห์ข้อมูลได้รวดเร็ว
- มีความยืดหยุ่นสูง และต้นทุนต่ำ
.
💡 มันสำคัญยังไงกันนะ ?
องค์กรที่มีการทำ Data Lakes ทำให้มีการวิเคราะห์ข้อมูลประเภทใหม่ และสามารถเข้าถึงแหล่งข้อมูลใหม่ ๆ มากขึ้น ซึ่งจะช่วยให้เพิ่มประสิทธิภาพในการตัดสินใจทางธุรกิจ ดึงดูดลูกค้า และมีโอกาสเติบโตมากกว่านั่นเอง (อ้างอิงจากผลสำรวจ Aberdeen)
.
💥 อ่านเพิ่มเติมได้ที่ : https://aws.amazon.com/th/big-data/datalakes-and-analytics/what-is-a-data-lake/ ,
https://databricks.com/discover/data-lakes/introduction , https://www.talend.com/resources/what-is-data-lake/ ,
https://s3-ap-southeast-1.amazonaws.com/mktg-apac/Big+Data+Refresh+Q4+Campaign/Aberdeen+Research+-+Angling+for+Insights+in+Today's+Data+Lake.pdf
.
หากใครชอบเนื้อหานี้ ฝากกดไลค์กดแชร์เป็นกำลังใจให้แอดด้วยน้าาาา 😍
.
borntoDev - 🦖 สร้างการเรียนรู้ที่ดีสำหรับสายไอทีในทุกวัน

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BorntoDev (www.BorntoDev.com) เว็บไซต์ที่เกี่ยวกับการสอนการพัฒนาโปรแกรมหรือผลงานทางด้านคอมพิวเตอร์ จัดทำขึ้นเมื่อ 27 ตุลาคม 2556 โดยมีจุดมุ่งหมายเพื่อต้องการให้ผู้ที่สนใจพัฒนาซอฟต์แวร์ แอปพลิเคชั่น หรือ ผลงานทางด้านคอมพิวเตอร์ได้มีแหล่งในการเรียนรู้ที่ง่าย และ สนุก ไม่เน้นทฤษฏีจนทำให้ท้อหรือถอดใจไปก่อนจัดทำขึ้นโดยกลุ่มคนที่ต้องการจะเห็นความเปลี่ยนแปลงทางด้านเทคโนโลยี และ มีความหวังว่าจะมีนักพัฒนารุ่นใหม่ของไทยที่มีผลงานที่ยิ่งใหญ่ขึ้นมาได้ โดยจะใช้หลักการ “เน้นสนุก สอนเข้าใจ ทำได้จริง” สามารถเข้ามาเรียนรู้การพัฒนาซอฟต์แวร์ได้ตั้งแต่ระดับมัธยมศึกษาจนถึงนักศึกษาในมหาวิทยาลัย และ บุคคลทั่วไปที่สนใจในการพัฒนาซอฟต์แวร์และเทคโนโลยีคอมพิวเตอร์ ซึ่งในปัจจุบันนี้ถือว่ามีความสำคัญกับทุกสาขาอาชีพ และ เข้ามาเกี่ยวข้องกับทุกๆอย่างในชีวิตของเรา
ความสำเร็จของเรา คือ "การที่ได้เห็นคนไทยหันมาพัฒนาซอฟต์แวร์เพื่อโลก ที่ดีขึ้น"
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what is data analytics 在 貓的成長美股異想世界 Facebook 的精選貼文

貓的成長美股異想世界 By 貓的成長美股異想世界

2021-05-12 07:35:04 有 70 人按讚
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🌻風險管理

跌了幾十趴的個股還要繼續抱下去嗎? 去年飆漲的SPAC, 今年還漲的回來嗎?(可以跟下篇一起看).

開始玩成長股後, 我學到最難的一堂課是風險控制. 每個人對風險控制的觀念不一樣, 這跟每個人的心理素質也有關係.

風險管理, 也就是"留得青山在, 不怕沒柴燒".

風險管理:
https://zh.wikipedia.org/wiki/%E9%A3%8E%E9%99%A9%E7%AE%A1%E7%90%86

🌻There Are Too Many Defenseless(無防禦性的) Stocks
(可以的話, 我希望您可以好好讀一下這篇文章. 我希望能夠幫您守住些財富, 減少些損失, 甚至創造些獲利. "Too many", 也就代表了股票沒有稀有性)

The underwriters just created too many stocks. There's too many new companies, too many companies that help you with analytics(分析), too many that offer video, too many data collectors and too many real-time analysis, and too many cybersecurity companies. There's been too many new electric vehicle derivatives, too many cannabis (大麻) plays and way too many new fintechs(金融科技).

The effect? We are now facing a bewildering number of companies that simply do the same things and can't be differentiated (無差異性的) and, frankly, are too hard to understand unless you are deeply involved in the transfer of data from on your premises to the cloud(雲端).

Why does this matter?

Because these stocks are defenseless. They are defenseless against inflation (通膨) because so many of them sell at a multiple to sales and any company that trades as a multiple to sales (指的是以P/S為估值方式, 非傳統的P/E. 軟體公司主要是用P/S) will see its value erode more quickly than any other in this stock market because the company has to graduate from a multiple to sales to a multiple of earnings, or just keep losing money. So many new investors have not experienced real inflation where these kinds of stocks can't be given away.

They are defenseless against an economic boom. I have been reading through countless software as a whatever with a go to market strategy and a huge TAM (total addressable market, 指的是市場大小) to land and expand(指的是雲端公司的商業模式), and my eyes glaze over. Who needs a company with all of those buzzwords that's growing at 27% and losing money when I have plenty of high quality industrials that are growing at 27% and spewing cash to the point the biggest issue is how much should be put to growth versus rewarding shareholders.

They are defenseless against older companies with a balanced policy toward dividends and buybacks, so that supply is mopped up while demand is bolstered by a yield. The land and expanders don't have anything backing them up which makes them vulnerable to sudden shocks down as we have seen.

They are defenseless against insider selling. If capital gains rates are going up, these are the companies with the most vulnerable stocks because so many of the people in these new companies have stocks that are still up substantially from when they got stock so a company with a stock down 30%-40% is vulnerable from scads of insider selling, including secondaries I am now expecting with increasing frequency.

They are defenseless against SPACs. While there are many good SPACs there are too many SPACs with too much stock sloshing around. I keep thinking about that MP Materials (MP) secondary offering in late March, where entities controlled by CEO James Litinsky sold 4.6 million shares of his company in a deal priced at $35. Now it is a small percentage of his holdings and many others involved with the company sold small amounts, too. That's not the point. It's more of a statement: this stock traded at $50. You might have been inclined to buy on the pullback but you would have been massacred as the stock is now at $27. If you have a so-called successful SPAC its success might be measured by how much money you took out of it before its stock fell by 50%. There are hundreds of things and when you consider all of the warrants out there, you know this market is going to be overwhelmed with this stuff.

You aren't going to see these kinds of secondaries at Deere (DE) or Caterpillar (CAT) , that's for certain.

Now there are people out there willing to buy the incredibly almost stupidly risky stocks, people like Cathie Wood, who demonstrated her unflappable conviction to her method of buying stocks that worked when there's scarcity value but there's anything but that now.

Maybe she can take down tens of billions of dollars worth and save the day. I wouldn't count on it. I am sorry to question her stock picking, lord knows she's been amazing. But unless others copy her, we know the stocks she is buying resemble what's not working at all. Maybe someday, but not now.

I try to figure out what the end game for these stocks might be if the economy keeps heating up and inflation accelerates. There's simply not enough money from young people or ETFs based on high growth or Cathie Wood to keep these stocks higher, and there's too much opportunity for the insiders to do what MP did, something that crunched the stock even as it reported a quarter ahead of expectations, which meant something at one point but means absolutely nothing now. Nothing at all.

文章來源: https://realmoney.thestreet.com/jim-cramer/jim-cramer-there-are-too-many-defenseless-stocks-15649142

Picture來源:
https://society6.com/product/boxing-cat_print

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旅美Cat談趨勢, 談企業經營管理, 談自己做的[美股, 人生]功課, 也談美國所見所聞. 希望我的內容能夠帶給您知識, 讓您增廣見聞, 讓您有所啟發, 甚至在財富上有成長. 也歡迎大家分享與交流.
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what is data analytics 在 コバにゃんチャンネル Youtube 的最佳解答

コバにゃんチャンネル By コバにゃんチャンネル

2021-10-01 13:19:08 有 9 人看過 有 1 人喜歡
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コバにゃんチャンネル

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コバにゃん☆です?
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what is data analytics 在 大象中醫 Youtube 的最讚貼文

大象中醫 By 大象中醫

2021-10-01 13:10:45 有 0 人看過 有 0 人喜歡
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大象中醫

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長照是一個劇變的旋轉舞台 百年難得一見 沒有準備的人 被旋轉舞台甩出去 不是坐下就是躺下 而大象中醫是太極的推手 推動著旋轉舞台 讓 所有爬不起來的人 背後有一股推手力量 支撐再站起來
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what is data analytics 在 大象中醫 Youtube 的最讚貼文

大象中醫 By 大象中醫

2021-10-01 13:09:56 有 0 人看過 有 0 人喜歡
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大象中醫

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長照是一個劇變的旋轉舞台 百年難得一見 沒有準備的人 被旋轉舞台甩出去 不是坐下就是躺下 而大象中醫是太極的推手 推動著旋轉舞台 讓 所有爬不起來的人 背後有一股推手力量 支撐再站起來
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社群媒體上有些相關的討論：

what is data analytics 在 What Is Data Analytics? - An Introduction (Full Guide) - YouTube 的推薦與評價

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#43. Big Data Analytics: What it is and why it matters - SAS Institute

Big data analytics helps organizations harness their data and identify new opportunities. Learn how businesses are using it to reduce costs, make faster and ...

#44. Data Analytics vs Data Analysis: Key differences with uses

Data analysis is a specialized type of analytics used in businesses to evaluate data and gain insights. It has one or more users and generally consists of data ...

#45. Data Science vs. Data Analytics: Understanding the Differences

data analytics : education and skills required. A typical curriculum for data science and data analytic degrees includes math, statistics, computer modeling, ...

#46. What is Data Analytics? Definition & Guide - Zoho

Data analytics is the technique of analyzing raw data from various data sources and to arrive at meaningful insights. Keep reading to get a complete ...

#47. What Is Data Analytics? - 4 Ways to Use Data Analytics - Lotame

Data analytic techniques enable you to take raw data and uncover patterns to extract valuable insights from it. Today, many data analytics ...

#48. What Does a Data Analyst Do: Roles, Skills, and Salary

The data analyst serves as a gatekeeper for an organization's data so stakeholders can understand data and use it to make strategic business ...

#49. Data Analysis - The Office of Research Integrity

Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate ...

#50. What is Data Analysis? Research, Types & Example - Guru99

Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business ...

#51. Data Analytics - Meaning, Types, Tools, Techniques, Process

Data analytics refers to examining unprocessed databases to draw meaningful and actionable inferences about the content they contain.

#52. What is Data Analytics? Definition with Examples

In other words, it can be said that data analytics is the method of exploring and then analyzing large datasets.

#53. What is predictive analytics and how does it work?

Predictive analytics is the process of using data to forecast future outcomes. The process uses data analysis, machine learning, artificial intelligence, and ...

#54. How to Become a Data Analyst in 2023: 5 Steps to Start Your ...

Companies in all sectors need specialists who can harness data, analyze it, extract meaningful data-driven insights from it, and use those insights to help them ...

#55. What Is Data Analytics? [2023 Beginner's Guide]

The term data analytics refers to collecting and transforming raw data into valuable insights that help make actionable business decisions. The ...

#56. The Difference Between Data, Analytics, and Insights | Localytics

Data, analytics, & insights. What do they really mean, and how do they relate to one another? We share some insights of our own to help you understand.

#57. Data Analytics vs Data Analysis: What's The Difference?

What is data analysis ? Consider data analysis one slice of the data analytics pie. Data analysis consists of cleaning, transforming, modeling, ...

#58. Data analytics and the auditor - ACCA Global

This article provides some insight into the matters which need to be considered by auditors when using data analytics. The Advanced Audit and Assurance ...

#59. What is Big Data Analytics? - Microsoft Azure

Analyzing big data is accomplished through tools and technologies such as data mining, AI, predictive analytics, machine learning, and statistical analysis, ...

#60. Data Analytics - Overview, Types, Process, Benefits

Summary · Data analytics is a process of analyzing raw datasets in order to derive a conclusion regarding the information they hold. · Data ...

#61. What Is Data Analytics? [Guide 2023] - Meltwater

Data analytics (DA) is the process of analysing, collecting, organizing and storing raw data to gain insights relevant to business ...

#62. What is Data Analytics and its types

In simple language, data analytics is the science of evaluating raw data to make outcomes from the data. Data analytic techniques help you to ...

#63. What Is Data Analysis? And How Can You Start Learning It ...

Why is data analysis important? What possible data analyst jobs are available in the field? How can you start to learn data analytics and figure ...

#64. Data Analyst Job Description [+2023 TEMPLATE]

A Data Analyst is a professional who collects and analyzes data across the business to make informed decisions or assist other team members and leadership ...

#65. What is Data Analytics | Different Types of Data ... - EDUCBA

Data analytics is the science of raw data analysis to draw conclusions about it. Data Analytics refers to the techniques for analyzing data ...

#66. What is analytics? What is business analytics? | SAP Insights

Predictive analytics answers the question “What is likely to happen in the future?”. This branch of advanced analytics uses findings from descriptive and ...

#67. Benefits of Studying Data Analytics: How to Learn & Skills

The advantages of data are numerous; however, established data analytics tools and processes are needed to access these benefits. While raw data has a lot ...

#68. What is Data Analytics? | Introduction to Data Analysis - Edureka

Data Analytics refers to the techniques used to analyze data to enhance productivity and business gain. Data is extracted from various sources ...

#69. Majoring in Data Analytics

Data analytics applies fundamental scientific principles to the analysis of large, complex data sets. This rapidly growing field needs practitioners with ...

#70. What Does a Data Analyst Do? Exploring the Day-to-Day of ...

Generally speaking, a data analyst will retrieve and gather data, organize it and use it to reach meaningful conclusions. “Data analysts' work ...

#71. What is a Data Analysis Platform? - Databricks

A data analytics platform is an ecosystem of services and technologies that needs to perform analysis on voluminous, complex and dynamic data that allows ...

#72. Defining data analysis and data analyst - LinkedIn

A data analyst is someone who will study or determine the nature and relationships of factual information used as a basis for reasoning, discussion, or ...

#73. What's the Difference between Data Analytics and Informatics?

Data analytics specialists must understand: Statistics; Database management; Database query languages; Computer programming. Informatics specialists must: Meet ...

#74. What Is Data Analysis? Methods, Process & Tools

Data analysis is the process of cleaning, analyzing, and visualizing data, with the goal of discovering valuable insights and driving smarter business ...

#75. Data Analytics and Data Management | ABS Group

Enhancing Performance through Data Analytics. Our goal is to help our clients manage and analyze their data to make better decisions.

#76. Difference Between Data Science and Data Analytics - upGrad

Data Analytics vs Data Science: Two sides of the same coin. 3.Data Science vs. Data Analytics: Job roles of Data Scientist and Data Analyst.

#77. What's The Difference Between Data Analytics And Data ...

Data analysis refers to the process of examining, transforming and arranging a given data set in specific ways in order to study its individual ...

#78. What is data analytics and how it may help in your career?

The data analytics has become a vital component of businesses across industries. It provides actionable insights into customer behavior along ...

#79. Data analyst job profile | Prospects.ac.uk

Data analysts translate numbers and data into information that can be used to solve problems or track business. They use data analysis to produce accessible ...

#80. Types of Data Analysis | Tutorial by Chartio

Data analysis can be grouped into four main categories: descriptive analysis, diagnostic analysis, predictive analysis, and prescriptive analysis.

#81. Data Analytics and Machine Learning: Let's Talk Basics

Machine learning analytics leverage the power of AI to find the story in business data. Learn more about how ML compares to traditional data analytics.

#82. Learn Data Analysis With Online Courses, Classes & Lessons

The functions of the data analyst are applicable at almost every type of business or organization. Their findings drive decision-making and help ...

#83. What is data analytics and how it may help in your career?

Data analysts are the experts who translate, gauge and capture valuable insights from the large volumes of unstructured data that has been ...

#84. Accounting & Data Analytics: What You Need To Know

Data analytics are used by accountants to do things like discern patterns in customer spending, identify market behavior, anticipate trends and predict ...

#85. Understanding data analytics tools—and how they help ...

Predictive analytics : Predictive analytics is a process of analyzing current and historical data to make predictions about future events. Social network ...

#86. Data Analysis - Process - Tutorialspoint

Data Analysis is a process of collecting, transforming, cleaning, and modeling data with the goal of discovering the required information.

#87. How it Works: What is Data Analytics for Business?

Predictive analysis is a method of analyzing data that seeks to offer foresight about future events or outcomes. Data previously derived from past analysis is ...

#88. What Data Analysis Is and the Skills Needed to Succeed

There are four main types of data analysis: descriptive, diagnostic, predictive and prescriptive. These data analysis methods build on each ...

#89. What Is Data Analytics Automation? (Plus Benefits) | Indeed.com

Learn what data analytics automation is and why automating this process can help a company increase its efficiency, reduce costs and improve ...

#90. 5 benefits of data analytics for your business | Stitch

Data analytics can help an organization with everything from personalizing a marketing pitch for an individual customer to identifying and mitigating risks to ...

#91. What is data analysis? Examples and how to get started - Zapier

Data analysis helps a business make informed decisions backed by insights. I'll walk you through data analysis examples to get you started.

#92. A Brief History of Analytics - DATAVERSITY

With the development of big data, data warehouses, the cloud, and a variety of software and hardware, data analytics has evolved, ...

#93. Data Analytics Courses: Online, Certifications, Fees, Syllabus ...

What is Data Analytics Course? Best Data Analyst Course in India. 2.1 Coursera. 2.2 Simplilearn. 2.3 Udacity. 2.4 Udemy. 2.5 Which is the Best Platform for Data ...

#94. Data Analytics and Visualization: A Comprehensive Guide

This blog aims at teaching you about Data Analytics and Visualization along with the advantages they offer for your business.

#95. Data analytics - PwC

Data analysis and business intelligence analytics will reveal new business opportunities. Use data at your disposal smarter and grow your business faster!

#96. Best Data Analytics Tools & Software (2023) - Forbes

Data analytics software can track and analyze data, allowing you to create actionable reports and dashboards. If you're looking for a reliable ...

#97. What is Data Analytics? - Eligibility, Courses, Scope & Future

After completing a data analytics course one can get jobs like data engineer, data scientist, data architect, database administrator and data analyst with a ...