Like the post if you want more content like this 😄👍

🌮 Data Analyst Vs Data Engineer Vs Data Scientist 🌮


Skills required to become data analyst
👉 Advanced Excel, Oracle/SQL
👉 Python/R

Skills required to become data engineer
👉 Python/ Java.
👉 SQL, NoSQL technologies like Cassandra or MongoDB
👉 Big data technologies like Hadoop, Hive/ Pig/ Spark

Skills required to become data Scientist
👉 In-depth knowledge of tools like R/ Python/ SAS.
👉 Well versed in various machine learning algorithms like scikit-learn, karas and tensorflow
👉 SQL and NoSQL

Bonus skill required: Data Visualization (PowerBI/ Tableau) & Statistics

Want to practice for your next interview?

Then use this prompt and ask Chat GPT to act as an interviewer 😄👇 (Tap to copy)

I want you to act as an interviewer. I will be the
candidate and you will ask me the
interview questions for the position position. I
want you to only reply as the interviewer.
Do not write all the conservation at once. I
want you to only do the interview with me.
Ask me the questions and wait for my answers.
Do not write explanations. Ask me the
questions one by one like an interviewer does
and wait for my answers. My first
sentence is "Hi"

Now see how it goes. All the best for your preparation
Like this post if you need more content like this👍❤️

Once you answered all the questions you can simply ask Chat GPT to review your answers by typing any of the below prompt

Can you please tell me how I performed?

Give me feedback on individual answer and how it should be better

🚀 𝐏𝐲𝐭𝐡𝐨𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐭𝐨 𝐌𝐚𝐬𝐭𝐞𝐫 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐟𝐨𝐫 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬

https://www.linkedin.com/posts/sql-analysts_dataanalyst-datascience-python-activity-7117369342056382465-YzuQ?utm_source=share&utm_medium=member_android

Like this Linkedin post if you need more content like this 👍❤️

Interview Books & Preparation Materials
👇👇
https://t.iss.one/InterviewBooks

https://t.iss.one/Interview_Jobs

Steps to become a successful data scientist

Top 5 DAX (Data Analysis Expressions) functions to master Power BI
👇👇
https://www.linkedin.com/posts/sql-analysts_top-5-dax-data-analysis-expressions-functions-activity-7121484515243360256-3x-K

Here is the most awaited post 😄

Free Courses, Projects & Internship for data analytics
👇👇
https://www.linkedin.com/posts/sql-analysts_freecertificates-dataanalysts-python-activity-7123979295600836608-Ut3b

Like this Linkedin post so that it reaches to more data aspirants 😄❤️

319 views but less than 20 likes. Guys, like the linkedin post if its helping you so that linkedin algorithm can send it to more data enthusiasts who can't afford paid courses :)

Thanks guys for the amazing support
180+ likes & 6k+ unique impressions.
You guys are amazing. Will come up with more quality content 😄

Don't waste time in remembering company names & searching their Career pages,

Apply here directly : https://www.linkedin.com/posts/sql-analysts_career-software-design-activity-7126059959988928514-SZjo

Like this Linkedin post so that it reaches to more data aspirants 😄❤️

Free courses to learn Data Science in 2023
👇👇
https://www.linkedin.com/posts/sql-analysts_programming-computerscience-datascience-activity-7126408061472112641-agJe

Like this Linkedin post so that it reaches to more data aspirants 😄❤️

Credit Card Data Analysis Project
👇👇
https://t.iss.one/sqlproject/59

Complete Power BI Book
👇👇
https://www.linkedin.com/posts/sql-analysts_power-bi-book-sqlspecialist-activity-7128010834630369280-AQAR

Like & Share the post with more data aspirants 👍

Unlimited access to data science courses till Nov 20
👇👇
https://www.linkedin.com/posts/sql-analysts_datascience-dataanalytics-activity-7128217526924177408-0DtE

Like for more 👍❤️

Thank you so much guys for reposting content with other data aspirants ❤️

Data Analysis vs Data Science

Data analysis often focuses on interpreting and summarizing existing data, requiring skills like statistical analysis, SQL, and data visualization.
On the other hand, data science involves a broader set of skills, including machine learning, predictive modeling, and advanced programming.

In essence, data analysis is a subset of data science, with data scientists often having a more extensive toolkit for handling complex and unstructured data.

Free Resources to become data analyst -> https://www.linkedin.com/posts/sql-analysts_freecertificates-dataanalysts-python-activity-7113004712412524545-Uw4k

Steps to become data scientist -> https://t.iss.one/learndataanalysis/559

SQL vs Python

SQL is great for managing and querying structured databases, especially when dealing with large datasets. It excels in tasks like filtering, sorting, and aggregating data.

Python, on the other hand, is a versatile programming language used for a broader range of tasks. In the context of data, Python is powerful for data manipulation, analysis, and machine learning. It offers libraries like Pandas for data manipulation, NumPy for numerical operations, and Scikit-Learn for machine learning.

In summary, SQL is essential for efficient database querying, while Python provides a more comprehensive solution for various data-related tasks, making them often used together in data-related workflows.

SQL Practice Questions with Answers -> https://t.iss.one/learndataanalysis/596

Python Roadmap for Data Analysts -> https://t.iss.one/pythonfreebootcamp/207

Free resume guide from Harvard
👇👇
https://www.linkedin.com/posts/sql-analysts_harvard-resume-and-cv-career-guide-activity-7129694373688070144-RS2m

Like and comment on this post so that it reaches more jobseekers 😄👍

Save it for your future reference