Dataryx

Success isn't just about reaching the destination; it's about savoring every step of the journey. Embrace the challenges, relish the victories, and learn from the detours. Each moment shapes you into the professional you're meant to be. Enjoy the journey, for it's where growth and fulfillment reside. #ProfessionalJourney #CareerDevelopment #EnjoyTheProcess

1 year ago | [YT] | 1

Dataryx

Sometimes we think it’s too late and stop working on our bigger dreams. We think this is it! But think about what you’re considering a period (.); it may be a comma (,) if you zoom in. Never stop working towards your dreams.

#dataanalytics #datascience #datacareer #workfromanywhere #work

1 year ago | [YT] | 1

Dataryx

Developing these underrated skills alongside technical proficiency will contribute to becoming a well-rounded and effective data analyst.

Data Storytelling: Often overlooked, the ability to convey insights from data in a compelling and understandable manner is crucial. A data analyst should be adept at translating complex findings into a narrative that stakeholders can easily comprehend and act upon.

Attention to Detail: While it might seem obvious, meticulous attention to detail is a highly underrated skill. Data analysts need to catch discrepancies, outliers, or irregularities in data that might otherwise go unnoticed. Precision in data cleaning and analysis is essential for reliable results.

Business Acumen: Understanding the business context is key for a data analyst. It’s not just about crunching numbers; it’s about applying data insights to real-world scenarios. Being aware of business goals and aligning analytical findings with strategic objectives is an often underestimated skill in the field.

Critical Thinking: Beyond technical skills, data analysts should possess strong critical thinking abilities. This involves questioning assumptions, considering alternative interpretations of data, and being aware of potential biases. Critical thinking ensures a more robust and reliable analysis.

Tags 🏷️: #dataanalyst #datascience #datacareer ##datascienceday #dataengineer #python3 #python #sqlserver #sqldeveloper #sqldatabase #sqlite #nosql

1 year ago | [YT] | 1

Dataryx

Learning SQL is important for becoming a Data Analyst. But what sets you apart from group of people who have SQL in their skill set is learning advanced SQL.

Here is one such concept that can help you to go an extra step ahead.

Subscribe to ‪@Dataryx‬ for more such tips and more


#data #dataanlytics #dataanalyst #datacareer #learning #SQL #SQLlearning #SQLserver

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1 year ago | [YT] | 1

Dataryx

Struggling to start with the projects in data analytics.
 
You have taken every possible course, you have covered all topics and still struggle to find out what to do in a data project.
 
Try guided projects; these projects will help you walk before you start running. In project-based learning (guided projects), the instructor will walk you through every step of the project.
 
There are numerous advantages to it:
It takes down any obstacles stopping you from working on projects. It helps you spend less time planning the project and gathering the data.
Helps you learn the process.
Make you feel confident in your skills.

#dataanalytics #project #learning

1 year ago | [YT] | 1