Visualization Best Practices for Data Scientists

Disclaimer: The ideas presented in this article are from the book:** Story Telling With Data by Cole Nussbaumer Knaflic**. To preserve the original message of the author, the visualizations presented in the book are also directly from the book.

When I was reading and enjoying the book, I thought it would be really cool to share my most key takeaways with the rest of the data science community. The book highlights the best practices for communicating effectively with data. It’s has been almost two months having all these tips drafted in my laptop, but thankfully now I realized it could help some data scientists looking to deepens their visualizations and communication skills.

In your opinion, how good are the following visuals? Hold on for few seconds and see what they are all lacking.

What would say about these visuals?

The main best practices for making effective visualizations and communicating the data are:

• Understand the context: The need of communicating the data start with the reason to communicate. The author insisted on asking yourself questions like To whom are you communicating? What do you want your audience to know or do? How can you use data to help make your point?
• Choose an appropriate visual display: There are so many visuals that we need to choose from when communicating data. But this can be a huge problem to our goal if we don’t understand the uses cases of each visual. The key advice is to choose the simple visual that our audience can understand. Visuals such as pie chart, donut chart, and 3D aren’t your best friend regarding effective communication.

#data-science #dataviz #data-visualization #data #data-analysis #visual studio code

What is GEEK

Buddha Community

Procedure To Become An Air Hostess/Cabin Crew

Minimum educational required – 10+2 passed in any stream from a recognized board.

The age limit is 18 to 25 years. It may differ from one airline to another!

 

Physical and Medical standards –

• Females must be 157 cm in height and males must be 170 cm in height (for males). This parameter may vary from one airline toward the next.
• The candidate's body weight should be proportional to his or her height.
• Candidates with blemish-free skin will have an advantage.
• Physical fitness is required of the candidate.
• Eyesight requirements: a minimum of 6/9 vision is required. Many airlines allow applicants to fix their vision to 20/20!
• There should be no history of mental disease in the candidate's past.
• The candidate should not have a significant cardiovascular condition.

You can become an air hostess if you meet certain criteria, such as a minimum educational level, an age limit, language ability, and physical characteristics.

As can be seen from the preceding information, a 10+2 pass is the minimal educational need for becoming an air hostess in India. So, if you have a 10+2 certificate from a recognized board, you are qualified to apply for an interview for air hostess positions!

You can still apply for this job if you have a higher qualification (such as a Bachelor's or Master's Degree).

So That I may recommend, joining Special Personality development courses, a learning gallery that offers aviation industry courses by AEROFLY INTERNATIONAL AVIATION ACADEMY in CHANDIGARH. They provide extra sessions included in the course and conduct the entire course in 6 months covering all topics at an affordable pricing structure. They pay particular attention to each and every aspirant and prepare them according to airline criteria. So be a part of it and give your aspirations So be a part of it and give your aspirations wings.

Read More:   Safety and Emergency Procedures of Aviation || Operations of Travel and Hospitality Management || Intellectual Language and Interview Training || Premiere Coaching For Retail and Mass Communication || Introductory Cosmetology and Tress Styling  ||  Aircraft Ground Personnel Competent Course

For more information:

Visit us at:     https://aerofly.co.in

Phone         :     wa.me//+919988887551 

Address:     Aerofly International Aviation Academy, SCO 68, 4th Floor, Sector 17-D,                            Chandigarh, Pin 160017 

Email:     info@aerofly.co.in

 

#air hostess institute in Delhi, 

#air hostess institute in Chandigarh, 

#air hostess institute near me,

#best air hostess institute in India,
#air hostess institute,

#best air hostess institute in Delhi, 

#air hostess institute in India, 

#best air hostess institute in India,

#air hostess training institute fees, 

#top 10 air hostess training institute in India, 

#government air hostess training institute in India, 

#best air hostess training institute in the world,

#air hostess training institute fees, 

#cabin crew course fees, 

#cabin crew course duration and fees, 

#best cabin crew training institute in Delhi, 

#cabin crew courses after 12th,

#best cabin crew training institute in Delhi, 

#cabin crew training institute in Delhi, 

#cabin crew training institute in India,

#cabin crew training institute near me,

#best cabin crew training institute in India,

#best cabin crew training institute in Delhi, 

#best cabin crew training institute in the world, 

#government cabin crew training institute

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

How To Blend Data in Google Data Studio For Better Data Analysis

Using data to inform decisions is essential to product management, or anything really. And thankfully, we aren’t short of it. Any online application generates an abundance of data and it’s up to us to collect it and then make sense of it.

Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories. If it wasn’t already, data literacy is as much a fundamental skill as learning to read or write. Or it certainly will be.

Nothing is more powerful than data democracy, where anyone in your organization can regularly make decisions informed with data. As part of enabling this, we need to be able to visualize data in a way that brings it to life and makes it more accessible. I’ve recently been learning how to do this and wanted to share some of the cool ways you can do this in Google Data Studio.

#google-data-studio #blending-data #dashboard #data-visualization #creating-visualizations #how-to-visualize-data #data-analysis #data-visualisation

Visualization Best Practices for Data Scientists

Disclaimer: The ideas presented in this article are from the book:** Story Telling With Data by Cole Nussbaumer Knaflic**. To preserve the original message of the author, the visualizations presented in the book are also directly from the book.

When I was reading and enjoying the book, I thought it would be really cool to share my most key takeaways with the rest of the data science community. The book highlights the best practices for communicating effectively with data. It’s has been almost two months having all these tips drafted in my laptop, but thankfully now I realized it could help some data scientists looking to deepens their visualizations and communication skills.

In your opinion, how good are the following visuals? Hold on for few seconds and see what they are all lacking.

What would say about these visuals?

The main best practices for making effective visualizations and communicating the data are:

• Understand the context: The need of communicating the data start with the reason to communicate. The author insisted on asking yourself questions like To whom are you communicating? What do you want your audience to know or do? How can you use data to help make your point?
• Choose an appropriate visual display: There are so many visuals that we need to choose from when communicating data. But this can be a huge problem to our goal if we don’t understand the uses cases of each visual. The key advice is to choose the simple visual that our audience can understand. Visuals such as pie chart, donut chart, and 3D aren’t your best friend regarding effective communication.

#data-science #dataviz #data-visualization #data #data-analysis #visual studio code

50 Data Science Jobs That Opened Just Last Week

Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

In this article, we list down 50 latest job openings in data science that opened just last week.

(The jobs are sorted according to the years of experience r

1| Data Scientist at IBM

**Location: **Bangalore

Skills Required: Real-time anomaly detection solutions, NLP, text analytics, log analysis, cloud migration, AI planning, etc.

Apply here.

2| Associate Data Scientist at PayPal

**Location: **Chennai

Skills Required: Data mining experience in Python, R, H2O and/or SAS, cross-functional, highly complex data science projects, SQL or SQL-like tools, among others.

Apply here.

3| Data Scientist at Citrix

Location: Bangalore

Skills Required: Data modelling, database architecture, database design, database programming such as SQL, Python, etc., forecasting algorithms, cloud platforms, designing and developing ETL and ELT processes, etc.

Apply here.

4| Data Scientist at PayPal

**Location: **Bangalore

Skills Required: SQL and querying relational databases, statistical programming language (SAS, R, Python), data visualisation tool (Tableau, Qlikview), project management, etc.

Apply here.

5| Data Science at Accenture

**Location: **Bibinagar, Telangana

Skills Required: Data science frameworks Jupyter notebook, AWS Sagemaker, querying databases and using statistical computer languages: R, Python, SLQ, statistical and data mining techniques, distributed data/computing tools such as Map/Reduce, Flume, Drill, Hadoop, Hive, Spark, Gurobi, MySQL, among others.

---

#careers #data science #data science career #data science jobs #data science news #data scientist #data scientists #data scientists india