“All businesses could use a garden where Data Scientists plant seeds of possibility and water them with collaboration.” –
The common personality of a data scientist is, they are deep thinkers and highly passionate about their job. They are unique. Being a Data scientist to have not only a masters in degree But also they have to get Data Science Training from Livewire. Livewire has a center in Pondicherry. Pondicherry is the best training institute for the Data Science Certification Course.
What Is Data Science?
Data science is a multidisciplinary field that uses statistics, mathematics, information science, and computer science in order to understand and solve the complex problem analytically. Data science is a combination of many fields such as database management, data analytics, predictive modeling, machine learning, big data, coding, data visualization, reporting, etc.
How to become a Data Scientist:
Start studying with any of the tools and coding such as R/SAS/python/Hadoop. Know the basic algorithm, statistics, and also mathematics.
Do an internship:
The internship must be chosen based on interest and also in career growth. Here you can build experience as a student or a graduate. Internships help you to work and gain knowledge in live projects.its 100% sure to says that Livewire will give awareness about in this Data Science Certification Course.
SQL is a very important and basic tool. As an effective data scientist, you must know how to extract the data from the database using SQL. SQL is used in various data management task, querying a database, inserting and existing records. It will be a big advantage that, being a data scientist with a SQL programmer.
Master in Success Metrics and tracking metrics:
Success metrics related to the active user’s and also it helps to figure out things which are worked in the past and to improve in the present. Tracking metrics which tracks the time spent by the user, video watching, force quits video upload.
For being a data scientist, Python is the main language to learn because of its rich ecosystem. Python is a very powerful language which is used for any application in the IT field. Python emphasizes productivity and, readability. To visualize the data using Tableau will improve your data awareness skill as a result that provides you a better future.
Big data knowledge:
Knowledge of bid data is required to analyze distributed computing big data and unstructured data analytics. Big data software (distributed computing tools) used for data science are Knime, OpenRefine, R-Programming, Hadoop, Talend, RapidMiner, Hive, Pig, Mahout, spark, java to complete the delivery process.
A data scientist should be a master in database management, data blending, querying, data manipulation
Analytical skills :
Love to learn data science where ever you are:
For being a data scientist, look for knowledge everywhere because the data scientist must be master in analytical skills, be a keen viewer and love to learn data science.
Communication plays a very important role. Because conveying or explaining any problem and ability to share data analytics to people is an important job for a data scientist, here it will differentiate a good data scientist from a data scientist.
Presentation or visualization :
After collecting data the next exclusive step is to how we extract that data in an attractive and meaningful manner. The tools that can be used for presentation are excel, Tableau, QlikView, etc… For one thing ,Whatever the data we have, the destination is how we are presenting them.
Stay tuned with data science:
Stay tuned with websites such as Reddit, Google News,
How to be a Data Scientist:
Some keys will mentioned below, assist who can capable for a data scientist.
- Understanding the business problem.
- Accumulating and understanding the required likewise available data
- Manipulating the data and turning into a usable format
- Designing the analysis, the metrics we are looking to extract
- Determining the most optimal conclusion for analyzing the data
- Modeling the algorithm and also evaluating the result
- Being a data scientist you must face problems analytically and statistically, rather running out of them.
Data scientist Qualification:
- Diploma and Engineering students in an analytical concentration.
- IT professionals and graduates who are looking for a career in data science and analytics.
- A person who is playing with data and have an aim for developing business acumen.
Data scientist skills:
Critical thinking, Data architecture, Coding, Machine learning, Communication, problem-solving, database knowledge, predictive analytics, big data knowledge and last presentation skills.
Data science tools:
Matlab x 12 , Hadoop x 19 , R x 30, Python x 22,SAS x 18, Java x 15, Hive x 13 and the last SQL x 27 .
Data scientist role:
SAS Data Analyst, IBM Data Analyst Data Scientist, Data Mining Engineer, Machine Learning Engineer, Big Data Scientist, Data Architect, Business Intelligence Architect, Enterprise Data Architect, Big Data Architect, Hadoop Engineer, Data Warehouse Architect, Senior Data Scientist
Data Scientist Salary:
Average Data Scientist job salary per annum by experience – India
For 0-5 years experience – 5,675085 L
5-10 years experience – 6,817772 L
10-20 years experience – 7,646100 L
also 20 years or more experience – 9,493907 L
Demand for Data science:
This makes you clear about the demand for data science for the past 3 years in India.
As a result, its right time to do the Data science Training in Pondicherry. LIVEWIRE has given the opportunity to attend the Data science Training In Pondicherry. As we are an