Ruth  Nabimanya

Ruth Nabimanya

1624892340

Data Scientists: Myths vs. Realities [Misconceptions Debunked]

Anything that gains momentum quickly tends to become what everyone is talking about. And, the more people talk about something, the more misconceptions and myths pile up. Data Science and Analytics is one such domain that is continuously on the rise, and with it, is an increasing number of associated myths.

Today, we’re going to debunk some of these myths and misconceptions revolving around the lives and work of data scientists. But before we move on to that, let’s first understand at a typical day in the life of a data scientist.

Data Scientist

An organization has heaps of data that they’ve collected over time from various sources and in various formats. Now, they’ve decided to do something about it. They want to make their data count. Who do they turn to?

Data scientists!

Yes, data scientists whom the majority confuses to be some supernatural beings. These people are at the heart and soul of any organization’s data analytics team. They hold a vital position and though it might come as a surprise to you, their regular day is quite like the typical day of any other white-collar employee.

Table of Contents

#data science #big data for beginners #data scientists and debunk #myths and misconceptions

What is GEEK

Buddha Community

Data Scientists: Myths vs. Realities [Misconceptions Debunked]
Ruth  Nabimanya

Ruth Nabimanya

1624892340

Data Scientists: Myths vs. Realities [Misconceptions Debunked]

Anything that gains momentum quickly tends to become what everyone is talking about. And, the more people talk about something, the more misconceptions and myths pile up. Data Science and Analytics is one such domain that is continuously on the rise, and with it, is an increasing number of associated myths.

Today, we’re going to debunk some of these myths and misconceptions revolving around the lives and work of data scientists. But before we move on to that, let’s first understand at a typical day in the life of a data scientist.

Data Scientist

An organization has heaps of data that they’ve collected over time from various sources and in various formats. Now, they’ve decided to do something about it. They want to make their data count. Who do they turn to?

Data scientists!

Yes, data scientists whom the majority confuses to be some supernatural beings. These people are at the heart and soul of any organization’s data analytics team. They hold a vital position and though it might come as a surprise to you, their regular day is quite like the typical day of any other white-collar employee.

Table of Contents

#data science #big data for beginners #data scientists and debunk #myths and misconceptions

 iOS App Dev

iOS App Dev

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

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

Gerhard  Brink

Gerhard Brink

1622532411

Data Analysts: Myths vs. Realities [Misconceptions Debunked]

As data analytics started getting more relevant to the everyday operations of any organisation, the vacancies for skilled data analysts also soared sky high. Today, practically all the organisations dealing with big data are on a lookout for a upskilled data analysts almost all the time. However, as the need grew, so did the myths associated with it.

Like, for instance, people confuse data analytics with mathematics – a big LOL to them. Little do they know, heh!

Most of these myths spring up because people aren’t aware of the different domains involved in Data Science and often end up confusing one for the other. So, before we get to busting the prevalent myths, let’s first talk a bit about Data Analysts and see how are they different from Data Scientists.

The role of Data Analyst is similar to that of a Data Scientist for the most part. The only difference being that a Data Scientist comes into the picture when an organisation’s data volume and velocity exceeds a certain level that requires more robust skills for sorting through a rolling sea of unstructured data (big data) to identify questions and extract critical information.

Hence, the day-to-day tasks of a Data Analysts slightly resemble that of a data scientist – just at a comparatively smaller scale. Let’s look at the significant responsibilities that surround a data analyst:

#data science #analytics #data #data analysis #data analytics #myth busters #skill sets

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