Its goal is to let you learn how data can be used to answer questions and solve problems. A data analyst does an analysis of data that can be collected from multiple resources and can be seen in censuses, taxing, operational data, user data and other governmental/private company roles across the world With an increase in the development of the cyber world. Data Science Course is a course having a larger impact on the market these days, This course can also be done through python, Python Training is must as for that module which is the programming language that helps to design and run the algorithms for data.
It is the process to collect, process, perform statistical analyses of data and Data Analyst Training provided by Techedo technologies with 100% placements is a course that is having all the essential modules to learn the process of data analysis. To understand the complete scenario of data, review this infographic.
Netflix, Uber, Dropbox, Pinterest, Instacart, Spotify, Google which is the most used search engine in the entire world having 75% of market share, Instagram is the world's most famous image sharing platform uses python for most of its backend process including data.
analysis began to evolve and in the year 1980, the development of relational databases gave new breaths to data analysts which allowed them to use sequel(SQL) to retrieve data from databases. Today a data analyst can be found in a wide array of industries utilizing programming languages and statistics to pull, sort, present data in various forms for the benefit of the organization, people and companies.
Descriptive analyst- It is a simple and most common use of data in today's business. Its biggest use is to track key performance indicator which describes how business is performing on the basis of the selected benchmark.
Diagnostic analyst- It creates detailed information. Organizations use this type of data as more connection is created between data and patterns of behavior.
Predictive analyst- The one who attempts to answer the question that what is likely to happen?. This utilizes previous data to make future predictions about future outcomes. The predictive analyst uses data which is summarized to able to make logical predictions of outcomes of events.
Prescriptive analyst- It is a frontier of analysis of data that combines the insight of all previous analyses to determine the course of action to take in a problem or a decision. It utilizes the state of art of technology and data practices.
IT Systems Analyst- They use, design systems in order to solve problems in information technology
Healthcare Data Analyst- They get the opportunity to improve the quality of life of people by helping doctors and scientists to find solutions to problems they encounter on daily basis. The amount of data coming from healthcare industry is growing rapidly.
Operations Analyst- They work internally in large companies as their focus is on internal processes of business which includes internal reporting system, product manufacturing, and distribution, etc.
Data Scientist- Collect and analyze the data. This position needs a strong knowledge of data analytics including software tools, programming languages, and data visualization skills.
Data Engineer- They focus on large sets of data and are tasked with optimizing the infrastructure which surrounds different data analytics processes
Data Analytics Consultant- Their work is to deliver insights to the company to help their business. They work for many companies in a shorter period of time and focus is on projects with its clear start and end.
A data analyst collects and stores data on sales numbers, marketing research, logistics, etc. Technical expertise is needed to ensure quality and accuracy of data and process, design and presents it in various ways to help people, business, an organization to make better decisions.
The scope is huge in future as they are required in companies of banking, healthcare, telecommunications, and e-commerce, etc. It is expected that data is to grow 50 times by 2020 and companies have to stay updated with huge volumes of data so that they do not become obsolete. So, experts in advanced data analytics are considered important in an organization to be able to adjust their business models.
Our Success is the fact that we have provided 100% job opportunities and placements to all the students, we always look after their skill-building, Today we say it proudly that 90% of our students are placed in well reputed IT companies and 6% got selected in Global IT brands like HCL, Microsoft, TCS, Accenture, Ericsson and more. Now we are providing 100% job oriented skill development in 40% less Fee with lifetime free enrolment.
Ready for the next step?Request a Demo Class