Wednesday 11 September 2019

Data science Jobs

Types of Data Science Job
If you learn data science, then you get the opportunity to find the various exciting job roles in this domain. The main job roles are given below:
1.    Data Scientist
2.    Data Analyst
3.    Machine learning expert
4.    Data engineer
5.    Data Architect
6.    Data Administrator
7.    Business Analyst
8.    Business Intelligence Manager

Below is the explanation of some critical job titles of data science.

1. Data Analyst:
Data analyst is an individual, who performs mining of huge amount of data, models the data, looks for patterns, relationship, trends, and so on. At the end of the day, he comes up with visualization and reporting for analyzing the data for decision making and problem-solving process.
Skill required: For becoming a data analyst, you must get a good background in mathematics, business intelligence, data mining, and basic knowledge of statistics. You should also be familiar with some computer languages and tools such as MATLAB, Python, SQL, Hive, Pig, Excel, SAS, R, JS, Spark, etc.

2. Machine Learning Expert:
The machine learning expert is the one who works with various machine learning algorithms used in data science such as regression, clustering, classification, decision tree, random forest, etc.

Skill Required: Computer programming languages such as Python, C++, R, Java, and Hadoop. You should also have an understanding of various algorithms, problem-solving analytical skill, probability, and statistics.

3. Data Engineer:
A data engineer works with massive amount of data and responsible for building and maintaining the data architecture of a data science project. Data engineer also works for the creation of data set processes used in modeling, mining, acquisition, and verification.

Skill required: Data engineer must have depth knowledge of SQL, MongoDB, Cassandra, HBase, Apache Spark, Hive, MapReduce, with language knowledge of Python, C/C++, Java, Perl, etc.

4. Data Scientist:
A data scientist is a professional who works with an enormous amount of data to come up with compelling business insights through the deployment of various tools, techniques, methodologies, algorithms, etc.

Skill required: To become a data scientist, one should have technical language skills such as R, SAS, SQL, Python, Hive, Pig, Apache spark, MATLAB. Data scientists must have an understanding of Statistics, Mathematics, visualization, and communication skills.

Imp Notes:
As per various surveys, data scientist job is becoming the most demanding Job of the 21st century due to increasing demands for data science. Some people also called it "the hottest job title of the 21st century". Data scientists are the experts who can use various statistical tools and machine learning algorithms to understand and analyze the data.

The average salary range for data scientist will be approximately $95,000 to $ 165,000 per annum, and as per different researches, about 11.5 millions of job will be created by the year 2026.


1 comment:

  1. You don't realize how quickly technology is changing. Data science is highly technical and is therefore in high demand. A career in data science will open up many lucrative job opportunities. So, if you have been wanting to start your career in Data Science, now is the best time to enroll in a data science program with one of the best data science training institute in noida.

    ReplyDelete

apply function in R

1) apply function: It takes 3 arguments matrix,margin and function.. Example: m<-matrix(c(1,2,3,4),nrow=2,ncol=2) m #1 indicates it is ap...