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2. Ask Questions to Make Data-Driven Decisions
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specialization=google-data-analytics
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9. Get Started with Python
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10. Go Beyond the Numbers: Translate Data into Insights
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11. The Power of Statistics
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12. Regression Analysis: Simplify Complex Data Relationships
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13. The Nuts and Bolts of Machine Learning
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Data Mentorship by Nitian Shubham
� NIT Surat Grad & Senior Analyst | Empowering Students to Thrive in Data Analytics �
YouTube is a FREE University.....
Top 7 YouTube Channel for Data Analyst
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Topics : SQL
Start here :
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Advanced SQL : https://lnkd.in/gR4fvRVu
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27/10/2023
𝗙𝗿𝗲𝗲 Learning Path for 𝟮𝟬𝟮𝟯 🎯
1- Excel
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2-Power BI
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3-SQL
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4-R
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7- Linear Algebra
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9- ML & AI
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11- Introduction to Internet of Things
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💥 Happy Learning 💥
-------------------------------------------------
Follow me on LinkedIn for more such content
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Join my Telegram for data analytics resources and job openings
link:https://t.me/dataacademybyshubh
Hey folks, diving into the world of data analytics?
🚀 Exciting news!
We're gearing up for personalized 1-1 mentorship classes, guiding you from the basics to landing that dream placement. With 4 years of hands-on experience in the field, I'm thrilled to share my insights. Keen to join? Drop me a message! 📈
Free Online courses with certificate from Microsoft
Python for beginners
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ENJOY LEARNING 👍👍
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4. Create a Simple Gantt Chart using Microsoft Excel
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5. Excel Skills for Business Specialization
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6. Excel for Beginners: Pivot Tables
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10. Using Advanced Formulas and Functions in Excel
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12. Excel to MySQL: Analytic Techniques for Business Specialization
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15. Introduction to Data Analysis using Microsoft Excel
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18. Create Charts and Dashboards Using Microsoft Excel
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20. Create a Simple Project Timeline in Microsoft Excel
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Happy learning.✔️
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LinkedIn Learning LinkedIn for Creators
LinkedIn This link will take you to a page that’s not on LinkedIn
02/10/2023
🚀 Transitioning from Non-IT Background to Data Analytics? Let's Connect! 📊
Hey LinkedIn fam! 👋 If you're from a non-IT background and contemplating a move into the exciting realm of Data Analytics, I'm here to lend a helping hand!
Having journeyed from Chemical Engineering to Data Analytics, I understand the challenges and questions that come with making such a transition. Whether you're navigating through learning resources, choosing the right tools, or simply seeking advice on how to kickstart your journey, I've got your back.
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5-Python for Everybody :Learn the fundamentals of Python through this course and also through the Capstone Project.
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7-Machine Learning Specialization: Specialization is a series of courses that helps you master a skill.
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8-Introduction to Data Science: This Specialization will introduce you to what data science is and what data scientists do.
🌀https://lnkd.in/dW6v-gES
Happy learning!!!
👉𝗝𝗼𝗶𝗻 𝘁𝗵𝗶𝘀 𝘁𝗲𝗹𝗲𝗴𝗿𝗮𝗺 𝗴𝗿𝗼𝘂𝗽 𝗳𝗼𝗿 𝗝𝗼𝗯𝘀/𝗡𝗼𝘁𝗲𝘀
https://t.me/Freshers_Hub
👉Follow Srishti Kashyap for more such content
🚨 This post is a combination of both PDFs / textbook and video resources for
STATISTICS, EXCEL, PYTHON, R, SQL,POWER BI and TABLEAU
📢 The below links will take you to the respective pdfs and videos on each topic.
🎈STATISTICS
LINK TO TEXTS
https://lnkd.in/dfczXFe8
VIDEOS.
https://lnkd.in/dPF4RKCk
💛 MICROSOFT EXCEL
LINK TO TEXTS
https://lnkd.in/d-9FnuMw
LINK TO VIDEO
youtu.be/Vl0H-qTclOg
♣️ MICROSOFT POWER BI
LINK TO TEXTS
https://lnkd.in/dBJBfgT9
LINK TO VIDEO
https://lnkd.in/dug3DH94
♟️TABLEAU
LINK TO TEXTS
https://lnkd.in/dZ6cS7nB
LINK TO VIDEOS
https://lnkd.in/dgubncvS
https://lnkd.in/dvpsyT6P
♦️SQL
LINK TO TEXTS
https://lnkd.in/dSvunG-r
LINK TO VIDEOS
youtu.be/HXV3zeQKqGY
youtu.be/9URM1_2S0ho
https://lnkd.in/dM6RyYeV
https://lnkd.in/dMnSNgAA
💙 PYTHON
LINK TO TEXTS
https://lnkd.in/dwHNWMDG
LINK TO VIDEOS
https://lnkd.in/dF-BCxJa
https://lnkd.in/dwadiMb8
♠️ R
LINK TO TEXTS
https://lnkd.in/dCjdmSaB
LINK TO VIDEOS
youtu.be/_V8eKsto3Ug
📌 My advice to you is “DON’T overwhelm yourself, take each material one step at a time, you can’t consume all at once”. This is to avoid information overload.
📣 Secondly, it's not about how much text or videos you watch BUT how much you PRACTICE all that you have learned. As, it's only through practice that you can test your knowledge and skills.
Please repost/share for others to also benefit from these resources. Thanks 😊
🚨 This post is a combination of both PDFs / textbook and video resources for
STATISTICS, EXCEL, PYTHON, R, SQL,POWER BI and TABLEAU
📢 The below links will take you to the respective pdfs and videos on each topic.
🎈STATISTICS
LINK TO TEXTS
https://lnkd.in/dfczXFe8
VIDEOS.
https://lnkd.in/dPF4RKCk
💛 MICROSOFT EXCEL
LINK TO TEXTS
https://lnkd.in/d-9FnuMw
LINK TO VIDEO
youtu.be/Vl0H-qTclOg
♣️ MICROSOFT POWER BI
LINK TO TEXTS
https://lnkd.in/dBJBfgT9
LINK TO VIDEO
https://lnkd.in/dug3DH94
♟️TABLEAU
LINK TO TEXTS
https://lnkd.in/dZ6cS7nB
LINK TO VIDEOS
https://lnkd.in/dgubncvS
https://lnkd.in/dvpsyT6P
♦️SQL
LINK TO TEXTS
https://lnkd.in/dSvunG-r
LINK TO VIDEOS
youtu.be/HXV3zeQKqGY
youtu.be/9URM1_2S0ho
https://lnkd.in/dM6RyYeV
https://lnkd.in/dMnSNgAA
💙 PYTHON
LINK TO TEXTS
https://lnkd.in/dwHNWMDG
LINK TO VIDEOS
https://lnkd.in/dF-BCxJa
https://lnkd.in/dwadiMb8
♠️ R
LINK TO TEXTS
https://lnkd.in/dCjdmSaB
LINK TO VIDEOS
youtu.be/_V8eKsto3Ug
📌 My advice to you is “DON’T overwhelm yourself, take each material one step at a time, you can’t consume all at once”. This is to avoid information overload.
📣 Secondly, it's not about how much text or videos you watch BUT how much you PRACTICE all that you have learned. As, it's only through practice that you can test your knowledge and skills.
Please repost/share for others to also benefit from these resources. Thanks 😊
LinkedIn This link will take you to a page that’s not on LinkedIn
27/09/2023
🔶Important SQL Concepts You Should Know For Data Analyst
✅Understanding of Basic Commands
➡SELECT & FROM: to retrieve the attributes of data from the mentioned table.
➡SELECT DISTINCT: it eliminates duplicate rows and displays only the unique records.
➡WHERE: it filters the record and shows only the ones that satisfy the given condition.
➡AND, OR, NOT: logical operators
➡ORDER BY: it sorts the data in ascending or descending order
➡GROUP BY: it groups identical data.
➡HAVING: data aggregated by Group By can be further filtered out here.
➡Aggregate functions: aggregate functions like COUNT(), MAX(), MIN(), AVG(), and SUM() are used to perform operations on the given data.
✅Joins
➡Inner Join: inner join shows only those rows from both tables that meet the given condition. It can be referred to as an intersection in terms of set terminology.
➡Left Join: it returns all the records from the LEFT table while only the matching records from the right table are displayed.
➡Right Join: It is just the opposite of what left join does.
➡Full Join: it contains all the rows from both the table and if it does not have a corresponding matching entry a NULL value is displayed.
✅String Formatting
➡CONCAT: it is used to add two or more strings together.
➡SUBSTR: it returns the portion of the string and takes the starting position and the length of the substring to be returned in its parameters.
➡TRIM: the main job of trim is to remove the characters from the beginning of strings, the ending of strings or both if specified.
➡COALESCE: it can be used to replace the null values with user-defined values that are often required in data science.
✅ Window functions
➡Aggregate functions: it displays the aggregate values from the numerical columns like AVG(), COUNT(), MAX(), MIN(), SUM(), etc.
➡Value functions: each partition is assigned some values using the value window functions. Some of the most commonly used value functions are LAG(),LEAD(), FIRST_VALUE(), LAST_VALUE(), and NTH_VALUE().
➡Ranking Functions: they are useful to assign a ranking to rows based on some predefined ordering. ROW_NUMBER(), RANK(), DENSE_RANK(),PERCENT_RANK(),NTILE() .
✅Case When
✅Subqueries
✅Stored Procedures
Free courses to learn Data Science in 2023:
1️⃣ Python
https://lnkd.in/dWqrNydB
2️⃣ SQL
https://lnkd.in/dqQDJhBc
3️⃣ R
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4️⃣ PowerBI
https://lnkd.in/dfZZapxx
5️⃣ Mathematics
https://lnkd.in/d8kYV4qi
6️⃣ Tableau
https://lnkd.in/dyBPu-Bj
7️⃣ Excel and PowerBI
https://lnkd.in/dSZ9yiGP
8️⃣ Probability
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9️⃣ Statistics
https://lnkd.in/df6qksMB
🔟 Linear Algebra
https://lnkd.in/dJSBGzMB
11. Machine Learning
https://lnkd.in/dHwX9RRD
12. Deep Learning
https://lnkd.in/djcdRiWe
13. Data Analysis
https://lnkd.in/dr5P-qui
14. Data Visualization
https://lnkd.in/d6XzweXf
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