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The video covers business analytics, explaining its importance and how it helps businesses make data-driven decisions. It introduces key concepts like Big Data, Hadoop, and the five V's of Big Data. The video highlights the role of business analysts in bridging the gap between IT and business teams, using analytics to evaluate processes and deliver data-driven solutions. Finally, it discusses various tools and software commonly used by business analysts, such as Microsoft Excel, Tableau, and Power BI.

What is business analytics?

• 00:00:00 Business analytics is the process of using data to help businesses make smarter decisions. Business analysts analyze data to identify trends, patterns, and insights that can be used to improve business operations, increase revenue, and reduce costs.

Big Data

• 00:01:30 Big Data refers to the massive amount of data generated by smartphones, social media platforms, and other digital sources. Traditional computing systems are often unable to handle the volume, velocity, and variety of Big Data.

Five V's of Big Data

• 00:02:32 The five V's of Big Data are volume, velocity, variety, veracity, and value. Volume refers to the sheer quantity of data, velocity refers to the speed at which data is generated, variety refers to the different types of data, veracity refers to the accuracy and reliability of the data, and value refers to the insights that can be derived from the data.

Hadoop

• 00:03:34 Hadoop is a framework for storing and processing Big Data. It uses a distributed file system to store data across multiple machines, ensuring data redundancy and fault tolerance. Hadoop also uses a technique called MapReduce to process Big Data in parallel, speeding up processing time.

Business analyst role

• 00:05:36 Business analysts play a crucial role in helping organizations make data-driven decisions. They work closely with IT and business teams to understand business needs, identify opportunities, and implement solutions to improve business performance.

Business analyst responsibilities

• 00:09:53 Business analysts have a wide range of responsibilities, including understanding business objectives, gathering requirements, allocating resources, designing solutions, monitoring progress, and communicating findings to stakeholders.

Business analyst skills

• 00:18:08 Successful business analysts need a combination of technical and non-technical skills, including critical thinking, problem solving, communication, negotiation, project management, and domain knowledge. They also need strong technical skills in areas such as Microsoft Excel, SQL, data analysis, and data visualization.

Power BI

• 01:12:43 Power BI is a business analytics service provided by Microsoft that allows users to visualize data and share insights. Key features of Power BI include Power BI Desktop, stream analytics, support for multiple data sources, and custom visualizations.

Power BI components

• 01:14:00 Power BI consists of six major components: Power Query, Power Pivot, Power View, Power Map, Power BI Desktop, and Power Q&A. Power Query is a data transformation engine, Power Pivot is a data modeling technology, Power View is a visualization tool, Power Map is a 3D data visualization tool, Power BI Desktop is a development tool, and Power Q&A allows users to ask questions in natural language.

Power BI service

• 01:15:43 Power BI service, also known as Power BI online, is the cloud-based component of Power BI. It allows users to connect to data, create reports and dashboards, and ask questions to their data.

Power BI dashboard

• 01:17:01 A Power BI dashboard is a single-page visualization that tells a story. It consists of tiles, which are visualizations from different reports, each based on a separate data set.

Data modeling in Power BI

• 01:48:54 Data modeling in Power BI involves defining relationships between different data sets. It is important to understand the different types of cardinality, including many-to-one, one-to-one, one-to-many, and many-to-many.

Data transformation in Power BI

• 02:12:42 Data transformation in Power BI involves cleaning and preparing data for analysis. Power Query in Power BI Desktop allows users to perform various data transformations, including changing data types, splitting columns, removing duplicates, and adding new columns.

Power BI visualizations

• 02:26:34 Power BI offers a wide range of visualizations, including bar graphs, line graphs, waterfall charts, scatter plots, pie charts, maps, cards, and KPIs. The choice of visualization depends on the type of data being analyzed and the insights that need to be communicated.

Power BI KPIs

• 02:48:05 KPIs in Power BI are key performance indicators that provide a quick visual representation of key metrics. They are used to monitor performance and make informed decisions.

Calculated columns in Power BI

• 02:50:33 Calculated columns in Power BI allow users to create new columns based on existing data. These columns can be used to derive new insights or perform calculations.