How does the Data Analyst syllabus help me to get a job?
The data analyst course syllabus is comprehensive and will help you to become proficient in the subject. You will be a live wire in the job market. Data Analyst course syllabus is prepared for industry-required scenarios and real-time solutions.
1. Probability and Mathematics for Prediction and Solution
A syllabus in data analyst course will have statistics, concepts of probability and mathematics which will help to solve business problems. Statistics and probability concepts will help in data analysis. Linear algebra and multivariate analysis and calculus also help to perform data analysis and data mining.
2. Programming Languages to extract data for Analysis
Knowledge of programming languages like R or Python will help manipulate the data. Knowledge of either or any one of them will help to extract data and manipulate to get the desired results.
3. Database knowledge to pull data from DB
Knowledge of database like SQL will help to store, manipulate and retrieve data. You will also learn to import and export data from the database. Since organizational structured data is huge, a knowledge of SQL will help to work with databases.
4. Querying languages to modify as structured
Thorough knowledge of SQL, Hive or pig will help to create tables, create, maintain and retrieve the relational database. Knowledge of any querying language will help the data analyst to create, access and modify the data (in and out of the database) with the help of a structured command.
5. Statistical languages
Thorough knowledge of statistical languages like R, SAS, SPSS will help in the statistical calculations of the data and in data interpretation.
6. Data visualization tools
Knowledge of data visualization tools like Tableau will help you as a data analyst to visualize and present the data in an understandable way to the stakeholders and the organization’s management to take business decisions. The course will help you to create charts, graphs, customize dashboards, storyboards and present the data.
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