Data Science Skills: Every Data Scientist Should Know|Machine Learning

Data science and machine learning can often require an overwhelming amount of skill. However, after exploring a lot of data science skills, in this article, I wanted to share five common data science skills that all Data Scientists should know.

You will come across even more required data science skills and useful skills throughout your career and practice, but I hope these common skills serve as a good start or improvement to your current journey as a Data Scientist.

Also, Read – Use of Data Science.

Structured Query Language (SQL)

As a Student in Data Science or even an Expert in Data Science, you might be surprised to see this as my first skill. It is typically associated with data analysis, while data scientists focus on a programming language and machine learning algorithms. But, before writing code for your Machine Learning algorithms, you need to collect data.

The most popular skill I can think of is SQL. Most businesses have a database with tables that you can query. The result of the query can be the dataset that you are using for your Data Science model. While you generally don’t need to be an SQL expert to become a successful Data Scientist, there are some key SQL concepts and commands that you need to familiarize yourself with.

Data Science Skills with Python or R

A programming language is a must known thing for Data Science skills. The most used programming languages in Data Science is Python and R. So to see yourself in going towards in the right direction in your journey in Data Science, you must be an expert in Python or R

Python, however, is beneficial because of the large number of libraries or packages that already include common data science and machine learning algorithms. In addition to accessing a lot of interesting information and making your Data Science more efficient, you can also work with object-oriented programming in Python.

Object-oriented programming also helps make your models more efficient, while creating a scalable framework for deployment. Also, it helps your model to be deployed more easily in OOP format, as you can do it yourself or communicate with a software engineer, data engineer or machine learning engineer for your deployment.

#machine learning #data scientist #python

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Data Science Skills: Every Data Scientist Should Know|Machine Learning
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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

Uriah  Dietrich

Uriah Dietrich


How To Build A Data Science Career In 2021

For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.

“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.

#careers # #data science aspirant #data science career #data science career intervie #data science education #data science education marke #data science jobs #niit university data science

Sid  Schuppe

Sid Schuppe


Level Up 7 Data Science Skills Through YouTube

We are all familiar with the modern game design, that champions or heroes are always equipped with certain attributes and specialties. For example, Dota heroes are scored based on the aspects of agility, intelligence, and strength. To excel on the battlefield, the hero needs to have above-average scores among all attributes while additionally specialized in at least one.
So what if we think of learning data science as playing a game where all of us possess multi-dimensional abilities. Playing video games demands constantly sharpening our skills with weapons, training, or magic potion. This resembles us learning through reading, tutorials, and of course those YouTube learning resources mentioned later in this article.
First of all, let’s walk through seven essential skills that guarantee your wins in the data science game.

#data-science-training #learn-data-science #data-science-skills #data-science-resources #data-science

Cyrus  Kreiger

Cyrus Kreiger


How to Become a Data Scientist from Scratch

Want to know how to become a data scientist from scratch? This comprehensive guide will take you through every necessary step to become a successful data scientist.

A Complete Career Guide on How to Become a Data Scientist
Data science has become the hottest career option for students. It’s become one of the fastest-growing career paths. In this high-tech world, every business and organization needs data scientists to leverage their data to the fullest extent. This provides ongoing opportunities for those who want to get hired into a data scientist role. This blog post will take you through all the necessary steps you need to know to become a successful data scientist.

#learn-data-science #data-science #data-science-skills #become-a-data-scientist #data-scientist

5 Indian Companies Recruiting Data Scientists In Large Numbers

According to a recent study on analytics and data science jobs, the number of vacancies for data science-related jobs in India has increased by 53 per cent, since India eased the lockdown restrictions. Moreover, India’s share of open data science jobs in the world has seen a steep rise from 7.2 per cent in January to 9.8 per cent in August.

Here is a list of 5 such companies, in no particular order, in India that are currently recruiting Data Scientists in bulk.

#careers #data science #data science career #data science jobs #data science recruitment #data scientist #data scientist jobs