DillonKamutenga

#dataenthusiasts

[DillonKamutenga @dillonkams]

Handmade & crocheted 🧶 by cousin in Fiyo 🇿🇼. She is super talented and reliable too. Contact her on [phone] for orders.
Please retweet/share to help her spread the word. @263Chat @RangaMberi @Wamagaisa @iMisred @Mathuthu @MajuruZim @daddyhope @EdmundKudzayi @begottensun

[Hopewell Chin’ono @daddyhope]

RETWEET for MUKANYA’s last show in England!!!!

[DillonKamutenga @dillonkams]

@iam_Uchenna I highly recommend @Splendanalytics anytime! If you want to understand SQL from start to finish, @iam_Uchenna is your go-to. He makes the sessions enjoyable and easy to remember.

[DillonKamutenga @dillonkams]

@chinyani_simba @daddyhope *you cant

[DillonKamutenga @dillonkams]

@chinyani_simba @daddyhope You are spot on @chinyani_simba! I think you attach attach a dollar value to the excitement, euphoria and a ‘sigh of relief’. In the eyes of the locals, it’s a big deal to have changed the status quo.

[Splendor of SQL 🇬🇧💖 @iam_Uchenna]

Top three most required tech stack for the following roles:

1. Data Analyst: SQL, Excel, Tableau/Power BI
2. Data Scientist: Python, R, SQL
3. Quantitative Analyst: Python, R, MATLAB
4. Business Analyst: SQL, Business Requirements Gathering, Agile Methodologies, Power BI/Tableau
5. Data Engineer: Python/Scala, SQL, Cloud, Apache Spark
6. Machine Learning Engineer: Python, TensorFlow/PyTorch, Docker/Kubernetes.

[Splendor of SQL 🇬🇧💖 @iam_Uchenna]

This is a class from Harvard University:

"Introduction to Data Science with Python."

It's free. You should be familiar with Python to take this course.

The course is for beginners. It's for those who want to build a fundamental understanding of machine learning and artificial intelligence.

It covers some of these topics:

• Generalization and overfitting
• Model building, regularization, and evaluation
• Linear and logistic regression models
• k-Nearest Neighbor
• Scikit-Learn, NumPy, Pandas, and Matplotlib

Link: https://t.co/V4ZWZSlxwK

[DillonKamutenga @dillonkams]

@iam_Uchenna Yes!

[DillonKamutenga @dillonkams]

@Bevy_dan @AduraTheAnalyst @iam_Uchenna @Splendanalytics Sadly, I missed this cohort. I almost joined two weeks after it started, but my schedule changed. I hope a new cohort is coming soon.

[DillonKamutenga @dillonkams]

@chinyani_simba It’s such a huge pandemic.

[Csim @chinyani_simba]

Check out my latest article: Intro to Blockchain and Cryptocurrencies

#BlockchainAfrica #Zim

https://t.co/69lBkr4nlp

[DillonKamutenga @dillonkams]

@ezekiel_aleke Tableau is the king
Of the jungle! Nothing beats it’s intuitiveness.

[DillonKamutenga @dillonkams]

@iam_Uchenna Let's agree to disagree on this one; I'm Team Tableau all the way. 😂😂😂

[Sasi 📊📈 @freest_man]

A Trick for Power BI Report Design:

>>> Placement <<<

When the audience looks at a report, an automatic and unconscious process occurs when they grasp the report.

Therefore, you should use the basic report design principle of placement to support this process and help communicate meaning from data effectively.

Good placement of report objects contributes to an ordered report design.

Generally, you should place the most important information in the upper-left corner of the page and arrange the report elements from left to right and top to bottom.

Making your report look good is about more than just putting things in the middle or placing them randomly.

You can make it more interesting by using a trick called the "Rule Of Thirds."

Here's how it works:

Imagine your page divided into nine equal boxes (like a tic-tac-toe board)

Put the important parts of your report along these lines or where they cross

This way of arranging things often looks better than just putting everything in the center

This method makes your report more eye-catching and organized.

Have you used this trick before in your Reports?

[DillonKamutenga @dillonkams]

@ezekiel_aleke Many thanks, @ezekiel_aleke. On Excel, I would also add @iam_Uchenna. This guy is extremely good with both SQL and Excel! The way he explains makes it easy for even a first grader to appreciate the power of these two tools.

[Splendor Analytics @Splendanalytics]

Happy New Month!
Join us for DA Challenge

Target 🎯
- 2+ hours daily on data cleaning, transformation and EDA.
- read a medium article on data analysis for 30 minutes daily.
- Post a summary &amp; tag @Splendanalytics -Post one dashboard Viz per week.

#DataChallenge #DAmastery

[Brian Mandipaza @BrianFlemingM]

You are the sum total of the 5 people you spend most of your time with - so choose wisely..

[DillonKamutenga @dillonkams]

Congrats boys!

[Jaynit Makwana @JaynitMakwana]

1. How to import data from the web:

[Donabel Santos @sqlbelle]

⛔Stop being a human spreadsheet , and start being a data detective.

Next time someone asks you for data, turn the tables and ask:⤵️

[DillonKamutenga @dillonkams]

Passing through the hands of @iam_Uchenna has transformed my career in many ways, from data cleaning, transformation, and visualization. The dude is super good. Anyone looking forward to embarking on a data journey, Splendor is your plug!