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What Skills Does a Data Scientist Need?

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What Skills Does a Data Scientist Need? 1

In this modern and complicated time of economy, Big data is nothing without the professionals who turn cutting-edge technology into actionable insights. These professionals are called Data Scientists. Modern businesses are awash with data and many organizations are opening up their doors to big data and unlocking its power that increases the value of data scientists. Data is one of the most important features of any organization which helps to make decisions based on facts, stats, and trends.

As the scope of data is growing, data science came up as a multidisciplinary field. Data science is an integral part of understanding the working of many industries, complex or intricate. It helps organizations and brands to understand their customers in a much better, enhanced, and empowered way. Data science can be helpful in finding insights for sectors like travel, healthcare, and education among others. Its importance is increased as it solves complex problems through Big Data. With data science, companies are using data in a comprehensive manner to target an audience by creating better brand connections. Nowadays data science is taking an important and big prime role in the growth process of brands, as it is opening new fields in terms of research and experiments.

Let us know about the much-hyped role of a data scientist, the skills required to become one, and the need to take data science training.

Who is a Data Scientist?

Data Scientists are the individuals who gather and analyze large sets of structured and unstructured data. It combines the roles of computer science, mathematics, and statistics to create actionable plans for companies and other organizations. They gather, analyze, and process the data and then find the filtered results. Their work is to make sense of large, messy, and unstructured data using sources such as social media, smart devices, digital channels, emails, etc.

In other words, data scientists are analytical data experts who solve complex problems through technical skills to explore what problems need to be solved with available data. They are struggling with data all the time and experimenting via complex mathematics and statistical analysis. Usually, data scientists are required to use advanced analytics technologies such as machine learning, advanced computing, and predictive modeling. They use various types of reporting tools and analytical skills to detect problems, patterns, trends, and connections between data sets. Their goal is to provide reliable information about campaigns and consumers that help companies to attract and engage their customers and grow the sales.

A job of a data scientist is also known and advertised as a machine learning architect or data strategy architect. Data scientists generally require enough educational and experiential background of big data platforms, tools including Hadoop, Pig, Hive, Spark, and MapReduce and programming languages such as SQL, Python, Scala, and Pearl; and computing languages like R.

Skills Needed To Become a Data Scientist

To become a data scientist, it is recommended to have a master’s degree. This means a very strong educational background and the deep knowledge is must-required to become a data scientist. You must have a bachelor’s degree in any stream such as computer science, Physical science, social science, statistics, and mathematics or engineering.

The skills required to become a data scientist are categorized into technical and non-technical. Some of them are mentioned below:

Technical Skills

● R Programming

R is specially designed for data science to deal with big data. It is generally preferred for data science to gain in-depth knowledge of analytical tools. Almost 43% of data scientists are using R to solve data problems and statistical issues.

● Python Coding

The most required technical skill to become a data scientist is having the knowledge of the most common coding language that is Python along with C, C++, Java, and Pearl.

● Hadoop Platform

It is the second most important skill to be a data scientist. This platform is heavily used in several cases. Hadoop is used to convey the data quickly to different servers.

● Apache Spark

It is becoming the most popular big data technology in the whole world. Just like Hadoop, it is a big data computation framework, but it is faster.

● SQL Database/Coding

With SQL database and coding, data scientists are able to write and execute complex queries in SQL.

● Data Visualization

A data scientist can visualize the data with data visualization with tools such as ggplot, d3.js and Matplottlib, and Tableau.

● Machine Learning and AI

Machine learning techniques include reinforcement learning, neural networks, adversarial learnings, etc. Along with it, supervised machine learning, decision trees, logistic regression can help you stay ahead from other data scientists.

Non-Technical Skills

There are also some non-technical skills such as Intellectual curiosity, Communication skills, Business acumen, Teamwork, etc. that can make you a successful data scientist.

Ready to Learn Data Science?

Data Science is nowadays a buzzing word in the IT sector. It has become an evolutionary technology that everyone is talking about. Several people want to become data scientists. It is a versatile career that is used in many sectors such as health-care, banking, e-commerce industries, consultancy services, etc. This career is one of the most highly paid careers. Data science careers have been always in high demand so the seekers have numerous opportunities to start or boost their careers.

It is a widely abundant field and has vast career opportunities because there are very few people who have the required certifications and skill-set to become a complete data scientist. You can gain these skills by enrolling in an online data science training program. By learning from industry experts, you will have a strong foundation of data science concepts. You’ll also be able to work on different data science tools and industry projects through a training course. So it’s the right time to get certification and grab the golden opportunities in the Data Science career.

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H&M, IKEA and Stora Enso backed TreeToTextile builds sustainable fibre demo plant

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H&M, IKEA and Stora Enso backed TreeToTextile builds sustainable fibre demo plant 2

STOCKHOLM (Reuters) – A venture part-owned by Finnish forestry group Stora Enso, Sweden’s H&M and IKEA said on Tuesday it was set to build a demonstration plant in Sweden for a new, more sustainable wood-based textile fibre after years of research.

To markedly reduce their climate footprint and pollution, large apparel and furniture brands are in dire need of affordable greener alternatives to cotton, traditional viscose and polyester. Several Nordic pulp makers are part of projects developing new clean ways https://www.reuters.com/article/us-nordics-forestry-idCAKCN0WF076 to turn trees into textile fibre.

TreeToTextile said in a statement its plant would have a production capacity of 1,500 tonnes and its owners would fund the bulk of the 35 million euro ($42.6 million) investment.

“The novel process is deliberately designed to have low energy demand and low chemical need. It is engineered to suit large scale production and includes a recovery systemfor reusing chemicals,” it said.

“By investing in a demonstration plant, we are finally on the go. With it we are turning years of R&D into reality to increase the biobased share on the textile market to support climate action.”

TreeToTextile, whose fourth part-owner is innovator Lars Stigsson, said the plant would be located at Stora Enso’s Nymolla mill in Sweden, and its construction would start in the near future.

Viscose is the main existing textile fibre from wood pulp – followed by the newer lyocell which has a cleaner manufacturing method. Production is dominated by Austria’s Lenzing, India’s Aditya Birla and China’s Sateri.

($1 = 0.82 euros)

(Reporting by Anna Ringstrom; Editing by Angus MacSwan)

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IHG books $153 million loss, Holiday Inn softens coronavirus blow

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IHG books $153 million loss, Holiday Inn softens coronavirus blow 3

By Tanishaa Nadkar

(Reuters) – InterContinental Hotels booked an annual loss of $153 million on Tuesday, pummelled by repeated COVID-19 restrictions and lockdowns, but said a faster recovery in its Holiday Inn Express brand had helped it outperform in key markets.

The company, which previously scrapped its final dividend, said 2020 was the most challenging year in its history as revenue per available room slumped 52.5%, with global travel and entertainment spending remaining under pressure.

Pinning its hopes on the global roll-out of COVID-19 vaccines and a wider economic rebound, IHG said the industry was unlikely to see a recovery until later in the year but hinted that global travel was starting to recover.

“People want to travel again…It is the thing that people have missed most and so there is enormous pent up demand to travel,” Chief Financial Officer Paul Edgecliffe-Johnson said, adding that “travel will come back very rapidly.”

Shares of the company were up 3.8% at 5,516 pence by 0845 GMT, amid a near 3% rise on the FTSE 350 travel and leisure index as Britain saw a surge in flight and hotel bookings after the government said would-be holidaymakers will be given clarity on making plans for the summer by April 12.

Demand remained stronger in IHG’s Holiday Inn Express business, which represents about 70% of its rooms in the U.S. market and has historically been impacted less and recovered faster than other segments in economic downturns, the company said.

“IHG is at the start of a prolonged period of commercial recovery,” Peel Hunt analysts said in a note.

Still, IHG reported a group operating loss of $153 million for the year ended Dec. 31, compared with a profit of $630 million last year.

(Reporting by Tanishaa Nadkar in Bengaluru; Editing by Devika Syamnath and Alexander Smith)

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Aviva sells French business to Macif’s Aéma Groupe for $3.9 billion

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Aviva sells French business to Macif's Aéma Groupe for $3.9 billion 4

LONDON (Reuters) – Aviva has agreed the sale of its operations in France for 3.2 billion euros ($3.89 billion) to Macif’s Aéma Groupe, as part of the British insurer’s shift to focus on its core operations in Britain, Ireland and Canada.

London-based Aviva, led by boss Amanda Blanc, said the sale would increase excess capital by 2.1 billion pounds ($2.95 billion) and cash of around 2.8 billion pounds.

Aéma Groupe, formed in January through the merger of French mutual insurer Macif Group and Aésio Mutuelle, has 8 million customers and a turnover of 8 billion euros.

Aviva France has 3 million customers and 7.8 billion euros in revenue. It covers life insurance, property and casualty and asset management markets in France.

Aviva’s share price rose by 1.7% at the open in London.

“The transaction will increase Aviva’s financialstrength, remove significant volatility and bring real focus to the Group,” Chief Executive Officer Blanc said.

Aviva expects to use the proceeds of the sale to support debt reduction, invest for long-term growth and return excess capital to shareholders.

The sale is central to Blanc’s turnaround plan aimed at streamlining its business after prolonged share price weakness has concerned investors.

The insurer, which aims to complete the disposal by the end of 2021, is looking to sell its continental European and Asian businesses, it said last year.

Final bids for its Polish operations that could fetch around 2 billion euros are due on Friday, sources have previously told Reuters.

It is also in the process of selling its Italian business, sources had said.

($1 = 0.8218 euros)

($1 = 0.7108 pounds)

(Reporting by Clara Denina; Editing by Rachel Armstrong, Louise Heavens and David Evans)

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