I really like your videos as you always break down details of each topics in bullets and focusing to educate people to understand better in data analyst jobs. So many UA-camrs that do the same data analyst contents only say do this and that to achieve goals but I never get deeper understanding what, when, why data analysts do. Even to learn from Google Coursera, which I did for the first course, I can tell that to learn from your video is a lot better.
1. Love this video. 2. I got delayed, but I'm still gonna buy your resume and portfolio review service. 3. When do you think the job market will ease up for entry level newbies that are still self learning? 4. Other than your apple app video , can you provide another video example of the "why" question you're trying to solve via EDA. I know how to find "which" customers are churning, but how do you find "why"? Thanks for all your tutorials and insights. I've still never understood why so many sql tutorials are focused on average salary vs salary when most analysts won't be working in HR.
Ciao lorenzo, ti voglio fare i complimenti per il canale (che ho appena scoperto); ti posso chiedere cosa hai studiato all'università e com è la situazione lavorativa in uk rispetto all'italia per questo ruolo?
Hello Sir I am a biggenner how can i start my carreer as Data Analyst. Im from from Togo. So it's my pleasure to follow you to have more direction. Thank you!
Would you use AI tools to make the things easier? And would i need to know advanced ML technologies to predict the data? Reply here man, it will be helpful for my career!
Great question! SQL Server isn’t on Mac, but no worries! you can use: 1️⃣ BigQuery - Cloud-based and super fast. 2️⃣ PostgreSQL 3️⃣ MySQL 4️⃣ SQLite - Great for quick testing. you can also use Azure Data Studio to connect to SQL Server on Mac, or run it via Docker.
I really like your videos as you always break down details of each topics in bullets and focusing to educate people to understand better in data analyst jobs. So many UA-camrs that do the same data analyst contents only say do this and that to achieve goals but I never get deeper understanding what, when, why data analysts do. Even to learn from Google Coursera, which I did for the first course, I can tell that to learn from your video is a lot better.
Wow thank you so much for taking the time to write such a nice comment, means a lot 🙂
@ you're so welcome
Thank you Lore
1. Love this video. 2. I got delayed, but I'm still gonna buy your resume and portfolio review service. 3. When do you think the job market will ease up for entry level newbies that are still self learning? 4. Other than your apple app video , can you provide another video example of the "why" question you're trying to solve via EDA. I know how to find "which" customers are churning, but how do you find "why"?
Thanks for all your tutorials and insights. I've still never understood why so many sql tutorials are focused on average salary vs salary when most analysts won't be working in HR.
This is what I need to know thank u😊
Happy to help!
Ciao lorenzo, ti voglio fare i complimenti per il canale (che ho appena scoperto); ti posso chiedere cosa hai studiato all'università e com è la situazione lavorativa in uk rispetto all'italia per questo ruolo?
In London which specific industry or sectors are looking for data analysts and data scientists
Finance, tech in general, healthcare I would say are the big ones
thx for sharing with us new infos please do some guided project for us and upload them it will be really helpful
Will do soon
Can I Work from Egypt for these companies or any others as a Data Analyst ?
Hello Sir
I am a biggenner how can i start my carreer as Data Analyst. Im from from Togo.
So it's my pleasure to follow you to have more direction.
Thank you!
Would you use AI tools to make the things easier?
And would i need to know advanced ML technologies to predict the data?
Reply here man, it will be helpful for my career!
Lore i have a question and it's important, what kind of DBMS you use as analyst because SQL server its not in Macbooks and generally its the most used
Great question! SQL Server isn’t on Mac, but no worries! you can use:
1️⃣ BigQuery - Cloud-based and super fast.
2️⃣ PostgreSQL
3️⃣ MySQL
4️⃣ SQLite - Great for quick testing.
you can also use Azure Data Studio to connect to SQL Server on Mac, or run it via Docker.