𝐉𝐨𝐢𝐧 𝐭𝐡𝐞 𝐅𝐑𝐄𝐄 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐨𝐧 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐅𝐨𝐫 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐛𝐲 𝐜𝐥𝐢𝐜𝐤𝐢𝐧𝐠 𝐡𝐞𝐫𝐞 [ Ссылка ]

📌 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 and 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 deal with Big Data, each taking a unique approach. Data Science is an umbrella that encompasses Data Analytics 🤩

📌 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 is a combination of multiple disciplines – Mathematics, Statistics, Computer Science, Information Science, Machine Learning, and Artificial Intelligence.🚀

📌 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 is mainly concerned with Statistics, Mathematics, and Statistical Analysis.

📌 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 focuses on finding meaningful correlations between large datasets.🧑‍💻

📌 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 is designed to uncover the specifics of extracted insights. In other words, Data Analytics is a branch of Data Science that focuses on more specific answers to the questions that Data Science brings forth.😍

👀 Both the roles perform varying degrees of data collection, cleaning, and analysis to gain actionable insights for data-driven decision making. Hence, the responsibilities of Data Scientists and Data Analysts often overlap.

👀 Although each role is focused on analyzing data to gain actionable insights for their organization, they’re sometimes defined by the tools they use. It helps data analysts to be proficient with relational database software, business intelligence programs and statistical software. Data scientists tend to use Python, Java and machine learning to manipulate and analyze data.

💰 𝗦𝗮𝗹𝗮𝗿𝘆

💸 The average salary for a Data Analyst in the US is $77,736. The average additional cash compensation for a Data Analyst in the US is $48,492. The average total compensation for a Data Analyst in the US is $126,228.

💸 The average Data Scientist salary is $100,560, according to the U.S. Bureau of Labor Statistics. The driving factor behind high data science salaries is that organizations are realizing the power of big data and want to use it to drive smart business decisions.

⚡️ You can choose any domain you like, and if you're still confused with the job responsibilities then just dive into the video!

🤔 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐊𝐧𝐨𝐰 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬?
𝐖𝐚𝐭𝐜𝐡 𝐭𝐡𝐞 𝐚𝐛𝐨𝐯𝐞 𝐯𝐢𝐝𝐞𝐨 𝐧𝐨𝐰 🚀

𝐖𝐡𝐞𝐫𝐞 𝐬𝐡𝐞 𝐞𝐱𝐩𝐥𝐚𝐢𝐧𝐬:
00:00 = Introduction
00:06 = Agenda
00:21 = Introduction to the Data World
01:33 = What is Data Science?
02:22 = What is Data Analytics?
02:51 = Data Science v/s Data Analytics
05:40 = Skills required to be a Data Scientist
05:59 = Skills required to be a Data Analyst
06:12 = FREE Class
06:43 = How to register for FREE Class?

𝐀𝐥𝐬𝐨, 𝐝𝐨 𝐧𝐨𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐣𝐨𝐢𝐧 𝐮𝐬 𝐨𝐧 𝐨𝐮𝐫 𝐅𝐑𝐄𝐄 𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐠𝐫𝐨𝐮𝐩 [ Ссылка ], 𝐚𝐧𝐝 𝐛𝐞 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐭𝐨 𝐫𝐞𝐜𝐞𝐢𝐯𝐞 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞-𝐫𝐞𝐥𝐚𝐭𝐞𝐝 𝐧𝐞𝐰𝐬 𝐚𝐧𝐝 𝐮𝐩𝐝𝐚𝐭𝐞𝐬.

🤔 𝐃𝐨 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬? 𝐋𝐞𝐭 𝐮𝐬 𝐤𝐧𝐨𝐰 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭 𝐬𝐞𝐜𝐭𝐢𝐨𝐧

#dataanalytics #datascience #datascientist #dataanalyst #datasciencevsdataanalytics #dataanalyticsvsdatascience #datascientistordataanalyst #dataanalystordatascientist #datascientistcareer #dataanalystcareer #datascientistsalary #dataanalystsalary #k21academy #askatul

Subscribe us and know more about latest Cloud technology: [ Ссылка ]
---------------------------------------------------------------------------------------------------------------
LET'S CONNECT ON SOCIAL ↴
➽ Facebook: [ Ссылка ]
➽ Linkedin:[ Ссылка ]
➽ Twitter: [ Ссылка ]
➽ Instagram: [ Ссылка ]

See you next video!

свернуть