Aurelio  Yost

Aurelio Yost

1625783820

5 Habits & 5 Soft Skills for Data Scientist to Get Life Easier

Good habits and Soft skills are necessary for Data Scientist to achieve great results in companies as in the business itself. There are many techniques for data scientist to work more efficiency, and more suggestions from mentors and leaders of Data Science for carrier advice. And there are many Tips for data science beginners which even works for seniors or team leaders.

In this video I listed-out 10 features for data scientist which should be taken in consideration if you will attempt to be a Senior Data Scientist or Team leader, or anyone who has higher sense of being data scientist against other, likely beginners or juniors specialists.

The content of this video:
0:00 - Intro
0:19 - 5 Habits To Be More Organized in Data Science
0:22 - 1. Use Unique Virtual Environments
1:34 - 2. Save Code Snippets
2:24 - 3. Use Version Control
3:21 - 4. Use Logging & Model Tracking
4:43 - 5. Take Development Notes
5:31 - Conclusion about mentioned Habits.
6:24 - 5 Soft Skills That a Good Data Scientist should have
6:39 - 1. Critical thinking
6:54 - 2. Effective communication
7:11 - 3. Proactive problem solving
7:32 - 4. Curiosity
7:41 - 5. Business Sense
7:55 - Main conclusions and outro.

Links to sources mentioned in a video:

  1. Conda Commands (latest): https://docs.conda.io/projects/conda/en/latest/commands.html
  2. Code Snippets: www.datasnips.com
  3. Getting Started with Github (article): https://www.codecademy.com/articles/what-is-git-and-github-desktop
  4. Logging Python Scripts (tutorial): https://towardsdatascience.com/logging-in-python-12e0c0528dd6

If you want to add something on the top, just drop a comment and subscribe the channel to get more useful material for data science from me.
Keep motivated and never stop learning!

#datasciencecareer
#datasciencebusiness
#datasciencehabits

#serverless

5 Habits & 5 Soft Skills for Data Scientist to Get Life Easier
Siphiwe  Nair

Siphiwe Nair

1620466520

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

Your Data Architecture: Simple Best Practices for Your Data Strategy
Gerhard  Brink

Gerhard Brink

1620629020

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).


This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management

Getting Started With Data Lakes
Java Questions

Java Questions

1599137520

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

50 Data Science Jobs That Opened Just Last Week
Simpliv LLC

Simpliv LLC

1582888674

Soft Skills: The 11 Essential Career Soft Skills | Simpliv

Description
Soft Skills. These are the traits, characteristics, habits and skills needed to survive and thrive in the modern work world. Soft skills aren’t usually taught in school, but you will learn them all here in this course. Are you someone that other people in your organization and industry like to work with, collaborate with and partner with? Are you seen as a valuable asset to any new project that comes along?

This soft skills training course will teach you how to develop the skills that can make the difference between a lackluster career that tops out at middle management versus one that lands you in the executive suite. Or to wherever you define career success. So many soft skills seem like common sense at first glance, but they are not commonly applied by most workers. This soft skills training course will give you an edge over your competitors. It will also make your job, your career and your life more rewarding and enjoyable.

What are you waiting for? This soft skills course is designed to be completed in just one or two lunch breaks. So lesson number one is, use your free time to constantly learn new skills rather than just checking the sports scores or celebrity news at lunch. There is nothing hard when it comes to learning soft skills, as long as you have a willingness to try new things and start right now.

Your academic degrees and tech skills are not enough for long-term career success. You need to become excellent in your soft skills.

Note: The instructor has recently added 5 soft skills/communications skills books in the resource section of the first lecture for those who wish for additional study materials.

What will students achieve or be able to do after taking this course?

Understand how to be a great communicator
Become a stronger listener
Appear professional to co-workers and bosses of all ages
Avoid common career blunders that often end careers
Manage expectations for bosses and colleagues
Position yourself for promotions
Make technology your asset, even if you are afraid of technology
Avoid the Not My Job Syndrome
Develop EQ to Match Your IQ
Develop leadership qualities
Please note: this is not a commuter generated soft skills course with lots of data slides and a robot voice. This is taught by TJ Walker, a real human being, talking and sharing with you directly (because one essential soft skill is the ability to speak directly to people and not hide behind computers and graphics).

Who this course is for:

This course is ideal for any professional who wants to advance in his or her career. This is for someone who wants success and is not satisfied to merely hold a current job
Basic knowledge
Willingness to learn things outside of your job description
What will you learn
Understand how to be a great communicator
Become a stronger listener
Appear professional to co-workers and bosses of all ages
Avoid common career blunders that often end careers
Manage expectations for bosses and colleagues
Position yourself for promotions
Make technology your asset, even if you are afraid of technology
Avoid the Not My Job Syndrome
Develop EQ to Match Your IQ
Develop leadership qualities

ENROLL

#Learn Soft Skills with Online Soft Skills Courses #Soft Skills Training Courses #Soft Skills Courses #Soft Skill Courses Online Training

Soft Skills: The 11 Essential Career Soft Skills | Simpliv
Sid  Schuppe

Sid Schuppe

1618004700

Data Analyst vs. Data Scientist

Stylised as the sexiest job of the 21st century, data science has emerged as one of the most in-demand professions of recent years — taking hold with a hype that normally only surrounds celebrities. Companies worldwide put lucrative salaries, prestige and the privilege of wielding influence up for grabs to attract analytical talent. Behind all the hype is a growing importance of digital data that’s currently transforming the way we live and work.
It’s no wonder that more and more enthusiasts want to break into this new field. But before venturing into data science and analytics with one’s eyes closed, aspirants are well advised to inform themselves about available routes first. Interested candidates are encouraged to begin their journey by identifying entry points and requirements, by finding out more about how the various data subfields differ from one another, and how their CV needs refinement prior to submitting job applications.

#data-analyst-jobs #data-scientist #data-analyst #data-scientist-skills #data-science

Data Analyst vs. Data Scientist