What is Data science ?
Simply said, data science is the process that enables you to make smarter business and career decisions. It processes data and derives useful information from it using scientific techniques and maths. Powerful hardware, an effective algorithm, and software programmes are used in the process to process the given data in order to gain useful knowledge and address data problems.
Prerequisites for Data Science:
1. Machine Learning
2. Modeling
3. Statistics
4. Programming
5. Databases
What Does a Data Scientist Do?
You know what is data science, and you must be wondering what exactly is this job role like - here's the answer. A data science analyzes business data to extract meaningful insights.
• You are know of what data science is, so you must be wondering what this position actually entails. The answer is provided here. Data scientists examine corporate data to derive important insights.
• By asking the proper questions and acquiring understanding, the data scientist ascertains the issue before beginning the data collecting and analysis.
• The data scientist collects organised and unstructured data from a variety of unrelated sources, such as public data and enterprise data.
• The data scientist converts the raw data into a format that can be used for analysis once the data has been collected. The data scientists examine and spot patterns and trends at this point.

Skills Required For Data Scientists:
The 2 types of important skills are:
1. Technical
2. Non-technical skills
These are the technical abilities a data scientist needs:
• simple familiarity with programming languages like Python, R, SQL, and Java
• understanding of applied maths and statistics
• Should be capable of using Hadoop, Spark, and other technologies for data analysis
• understanding of NoSQL and SQL databases
• computer learning
• brain network
• Frameworks for Deep Learning: TensorFlow, Pytorch, and Keras.
Use of Data Science:
It is possible to draw inferences and make predictions from data science by identifying patterns in seemingly unstructured or unrelated data.
Users' data can be turned into useful or profitable information by IT companies using certain tactics after they collect it.
Driverless cars are only one example of how data science is advancing in the transportation sector. By using driverless vehicles, it is easy to reduce the number of collisions. For instance, in the case of driverless automobiles, training data such as the posted speed limit on the highway, congested streets, etc. are given to the algorithm for research.
Through genetic and genomic research, data science applications offer a higher level of therapeutic customization.

Why we go with Naresh IT to learn data science?
With more than ten years of experience in the sector, Naresh IT provides the best data science online training in India. For students to learn practically, Naresh IT uses a project-based learning approach. The online training courses also feature debates, tests, and other activities in addition to lectures.

Visit: https://nareshit.com/data-science-online-training/

For more Details:
Call: +91 8179191999
Email:- onlinetraining@nareshit.com
Visit the Office :
2nd Floor, Durga Bhavani Plaza, Satyam Theatre Road,
Ameerpet,
Hyderabad, Telangana ,
500016.