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Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. Data Analysts dive deeper into raw data, using tools like Excel, Tableau, and SQL to create reports and dashboards.
Students learn to work with tools like Python, R, SQL, and machine learning frameworks, which are essential for analysing complex datasets and deriving actionable insights1. With an expected 11 million new job openings by 2026, pursuing a Data Science course can significantly enhance your employability and career trajectory.
Various types of storage options are available, including: Relational Databases: These databases use Structured Query Language (SQL) for data management and are ideal for handling structured data with well-defined relationships. from 2021 to 2026. SQLSQL is crucial for querying and managing relational databases.
million new jobs by 2026. Programming Languages (Python, R, SQL) Proficiency in programming languages is crucial. SQL is indispensable for database management and querying. The curriculum covers data extraction, querying, and connecting to databases using SQL and NoSQL. It is expected to create around 11.5
Effectively, Data Analysts use other tools like SQL, R or Python, Excel, etc., At length, use Hadoop, Spark, and tools like Pig and Hive to develop big data infrastructures. Significantly, in India, by 2026, job roles in Data Science are supposed to expand by 11 million. in manipulating and analysing the data.
billion by 2026, growing at a CAGR of 27.7%. Grasp the Fundamentals of Data Analysis and Management Build a strong foundation in Data Analysis by learning data manipulation techniques using SQL and Excel. Focus on Python and R for Data Analysis, along with SQL for database management. billion by 2026.
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