What You Will Learn In Data Analysis

  • Data Analytics Fundamentals

  • Excel: Equipped with built-in pivot tables, they are without a doubt the most sought-after analytic tool available. It is an all-in-one data management software that allows you to easily import, explore, clean, analyze, and visualize your data

  • State and Props: You'll learn how to manage component state, which represents data that can change over time.

  • SQL: accessing, cleaning, and analyzing data that's stored in databases

  • Lifecycle Methods: You'll learn about lifecycle methods such as `componentDidMount`, `componentDidUpdate`, and `componentWillUnmount`.

  • Power BI: discovery of information and the democratisation of data through its unique data visualisation capabilities, that improve the quality of companies' informative systems and help executives make data-driven decisions

  • Data Analysis with Python

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SKU: UCTA016 Category:

Description

Why become a Data Analyst?
By 2020, the World Economic Forum forecasts that data analysts will be in demand due to increasing data collection and usage. Organizations view data analysis as one of the most crucial future specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in data analytics, data analysts’ value is continuing to grow, creating new job and career advancement opportunities.

Who should take up this course?
Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst Master’s Program, including:
1. IT professionals
2. Banking and finance professionals
3. Marketing managers
4. Sales professionals
5. Supply chain network managers
6. Beginners in the data analytics domain
7. Students in UG/ PG programs

Additional information

Class Mode

Virtual (General), Virtual (One-One)

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