Data Analysis is the process of dealing with numbers in a way that one can derive useful information from it. It is a process of examining, cleaning and sorting, conversion, and organizing data to discover useful information and reach a conclusion and thus taking useful decisions through it.
Data Analytics course is a diverse and vast field and there are various approaches to data analytics and so are the methods of analyzing the data. Data sets are examined to find a pattern and usage or effect of a particular thing.
In today’s data-driven world, business and organizations depend on data analysis to take important strategic decisions. Thus data analysis plays an important role in every business for its survival and growth. Data analysis helps the organizations to make informed and calculated decisions.
Data analysis course depends on statistics and it either uses exploratory data analysis (EDA) or confirmatory data analysis (CDA). In EDA the data is obtained and organized in sets which are then analyzed whereas, in CDA, the hypothesis of data is done to find out its effect and important to the subject of the research.
Data Analysis is gaining popularity in India as well. Demand for skilled data analysts is an all-time high. There are a lot of different types of courses available which helps in learning and mastering data sciences and analytics.
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Syllabus of Data Analytics Degree Course
|Data Structures and Algorithms||Probability and Statistics||Relational Database Management Systems|
|Business Fundamentals||Text Analytics||Data Collection|
|Data Visualization||Statistical Analysis||Forecasting Analytics|
|Marketing Analytics||Pricing Analytics||Social Network Analysis|
|Retail Analytics||Customer Analytics||Supply Chain Analytics|
Tools which are taught in data analytics course –
- Hadoop (AWS)
- NodeXL- MeXL
Apart from these full-time courses, there are several online courses available that provide users with technical skills over a short period. These types of courses help working professionals add a new skill or update their existing skills easily at a comparatively low cost.
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Best Data Analytics Courses
Here is the list of best Data analytics courses available over the internet are:
- Coursera – Data Science Specialization
- Coursera – Data-Driven Decision Making
- EdX – Data Science Essential
- Udacity – Intro to Machine Learning
- IBM – Data Science Fundamentals
- Dataquest – Become a Data Scientist
- KDNuggets – Data Mining Course
Data analysts are sought after by not only IT sector but by firms working in finance, marketing, customer service and all other sectors of the industry. The top job after completing a data analysis course is –
- Data Scientist
- Data Architect
- Data Engineer
- Data Analyst
- Database Administrator
Thus to become a good data analyst or scientist, essential software skills and good hold over computer systems is essential along with analytical mind and problem-solving skill.
Ans. Here is the list of top Data Analytics courses:
1. Data Analytics for Lean Six Sigma
2. Introduction to Data Analytics for Business
3. Beginner Statistics for Data Analytics
4. Complete Data Analysis Course with Pandas & NumPy
5. Beginner’s Guide to Data & Data Analytics by SF Data School
6. Advanced Business Analytics Specialization
Ans. 1. For becoming a data analyst you need to first have a bachelor’s degree in IT, computer science.
2. After completing degree, you need to gain experience as a data analyst by working as an intern.
3. You can do masters as data analyst, to gain more exposure in that field.
Ans. Data Analyst is a good career professional as the demand is very high in the market and the supply of people who can truly do this job well is limited. The salary packages are high and excellent perks are also given.
Ans. After an experience of 2 to 4 years as a Data Analyst, a person can earn a salary of about $70,000. A senior analyst with 6 years of experience can have a higher salary of about $88,000.
Ans. Yes, you can get the job of a data analyst without work experience. That’s the best part about Data Analyst job position.