Showing posts with label math. Show all posts
Showing posts with label math. Show all posts

List of Basic and advanced Statistical Analysis part-(1)

This is a list of some basic and advanced statistical analysis
1.    Mean
2.    Median
3.    Mode
4.    Standard Deviation
5.    Geometric Mean
6.    Regression
7.    Harmonic Mean
8.    Standard Error
9.    Coefficient of variance
10.        Permutation and Combination
11.        Weighted mean
12.        Correlation Co-efficient
13.        Five Number Summaries
14.        Post Test Probability
15.        Probability Tree
16.        Covariance
17.        T-Test
18.        F-Test Calculator
19.        One Way ANOVA
20.        Multiple Regressions
21.        Frequency Distribution
22.        Stem and Leaf Plot Graphing
23.        Skewness
24.        Skewness Coefficient
25.        Mean Squared Error
26.        Venn diagram and probability
27.        Hypothesis Test for Population Variance

Data Analyst Career

Today there is an increasing demand for data analysts in the world job market. The demand for data analysts is very high all across the United States.
Qualifications for data analyst job:
To be an ideal candidate for the job of data analyst, you need to have knowledge and experience in analyzing the statistical data, and should be a graduate degree in any field related to statistics. You also need to be well versed in data analyze software like Excel, SAS, SPSS, and Minitab.
Skills for data analyst job:
Data analysis requires intensive research work. A data analyst should also have very strong problem solving skills. The main skill required by a data analyst is to extract information related to a topic from raw data. Therefore, you should possess abilities with reference to data mining, data mapping and data warehousing. Data tracking and identifying the trends and patterns in the marketplace are very important tools in the hands of a data analyst.
Statistical and mathematical knowledge is also required. You also need to have knowledge in specialized data management software, and should be able to analyze data statistically, and have the ability to generate reports, and audit and validate them. This will help to analyze the data accurately, which in turn will produce the report according to client requirements.
Other skills required are verbal and writing skills, along with data interpretation and presentation skills.
Work for a Data Analyst
A data analyst is a person who has to search for information related to the particular requirements of a client. Therefore, you must have the ability to question yourself in relation to the content of a topic. You then have to keep researching until an appropriate solution is found. You have to discover the source of the original data and be able to evaluate it.
You should be able to compare data statistically and provide appropriate solutions. Therefore, as a data analyst you have to refer to a large number of data sources and work on your reporting skills, so that you can present it in a simple and effective manner. You also have to audit the report, and the report has to be presentable and appealing to the client.
Job Titles:
Junior Data Analyst: A junior analyst searches for the appropriate data and provide sufficient material to be analyzed. They have to prepare statistical diagrams and flowcharts.
Senior Data Analyst: A senior analyst has to consult and communicate with the client. He/she has to prepare the final report and present it.
Data Analysis Project Manager: Duties include project organization and methodology. The project manager has to audit the reports and make sure that they fulfill the needs of the client
Since all these are specialized skills, which are in great demand in today's technological world, data analysts have high growth prospects. If you have the required qualifications and skills, and are keenly interested in pursuing a career in this field, then being a data analyst is a good option for you.

Math and Statistics

According to Webster'

Statistics is a branch of applied mathematics which includes the planning, summarizing, and interpreting of uncertain observations. Because the aim of statistics is to produce the "best" information from available data, some authors make statistics a branch of decision theory. As a model of randomness or ignorance, probability theory plays a critical role in the development of statistical theory.

According to Wikipedia:

Mathematics is the academic discipline, and its supporting body of knowledge, that involves the study of such concepts as quantity, structure, space and change. The mathematician Benjamin Peirce called it "the science that draws necessary conclusions". Other practitioners of mathematics maintain that mathematics is the science of pattern, and that mathematicians seek out patterns whether found in numbers, space, science, computers, imaginary abstractions, or elsewhere. Mathematicians explore such concepts, aiming to formulate new conjectures and establish their truth by rigorous deduction from appropriately chosen axioms and definitions.

Through the use of abstraction and logical reasoning, mathematics evolved from counting, calculation, measurement, and the systematic study of the shapes and motions of physical objects. Knowledge and use of basic mathematics have always been an inherent and integral part of individual and group life.

According to Webster'

Mathematics is commonly defined as the study of patterns of structure, change, and space. In the modern formalist view, it is the investigation of axiomatically defined abstract structures using logic and mathematical notation. It is a science (or group of related sciences) dealing with the logic of quantity and shape and arrangement