The Artist. The Art

If you’re interested in data analytics but not sure where to start, here’s a simple and realistic way to think about it. Consider this a broad roadmap to guide your learning. Note: Whatever tools or concepts you choose to learn, always focus on how they are applied to ‘ data

Morning guys, happy new year #Datafam. Quick one - if you’re trying to break into data analytics this year, I got you. Been dropping free content on YouTube for a minute now. Real projects. Real walkthroughs 𝗔𝗹𝗿𝗲𝗮𝗱𝘆 𝗴𝗼𝘁 𝘃𝗶𝗱𝗲𝗼𝘀 𝗼𝗻: → Excel dashboards (sales

SQL is really an interesting language I like the fact that it makes you think critically. It's such a straightforward language, and if you can understand English, then SQL won't be a trouble. Querying your database using using SQL, is like having a normal conversation.😌

@setu_ai_expert Sup guys.. I'm the real owner of this.. and all the tutorials and resources needed to create this for free is on my YouTube 👇👇 https://t.co/LT1MLUWOWH

💡 The Six Stages of a Data Analysis Project ⭕ 1. Data Requirement Every data project starts with a pause. Before opening a spreadsheet or writing a query, you ask yourself what you’re actually trying to figure out. What decision is on the line? What question needs an answer?

COUNT (*), WHERE and COUNT(*) WHERE record IS NOT NULL yields the same result. However knowing the known and unknown records in a database is important.

Day 2 : Mastering the Basics (PostgreSQL) Today I learned about taking out NULL values. These are empty records in a database and can negatively impact analysis if not well handled. Not now I've only touched on identifying them, will subsequently learn about updating them.

Using IN operator reduces the messy use of OR. Rather than having multiple OR statement for the language and certification filter, I used IN which only needs a parentheses and commas to separate the languages and of course ' ' since the languages are texts.

To select names with 'r' in second place, I used LIKE operator with '_' wildcard which represents a single character and '%' wildcard which represents one or more characters.

Using LIKE to filter names starting with B in conjunction with the '%' WILDCARD ensures that only 'B...' names were selected in the output.

Day 1 of Mastering the Basics (PostgreSQL) Filtering a database using LIKE, NOT LIKE and IN (a short thread) Real world data requires looking for patterns rather than specific words and I learned how to use these operators 👆🏾 to achieve that.

you can’t fully lock in while living with your parents, move out

it’s okay not to like fiction but dismissing it to me usually reveals that you have shallow definition of intelligence, and a lack of imagination which you may be mistaking for “being practical”

𝗚𝗼𝗼𝗱 𝗺𝗼𝗿𝗻𝗶𝗻𝗴 𝗴𝘂𝘆𝘀. The year’s coming to an end, but your dreams of becoming an analyst can begin. 2025 is almost over. But 2026? That’s your year. Stop saying “next year I’ll start learning.” Stop waiting for the perfect moment. Stop putting off what you can

URGENT: Missing Child On Christmas Day On The Night Of 25th December 2025, a Man Was Attacked By Kidnappers In Abakaliki Ebonyi State. During The Incident, He Was Shot Multiple Times And His Car Was Snatched By The Attackers With His 3-Year-Old Daughter Inside. The Father Is

I'll die on this hill! 🔥 I've been vocal about it irl and been labeled a rebel 😂😂

My New Year Gift! 🛑Give away FREE copies of "Python Tips and Tricks." Just like, repost and comment "Python Tips and Tricks." Make sure you follow me so I can access your DM. https://t.co/DRXsS27iCN

In coming weeks I’ll be exploring more analysis using my dataset, starting with Customer trend.

This dashboard is dynamically filtered by the Year, City and Restaurant slicers on the left.