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Data Analytics with Excel and Power BI in Govandi

Launch your data-driven career with our Data Analytics Courses with Power BI in Govandi at Sami Infotech. Uncover insights and make impactful decision

Data Analytics with Excel and Power BI in Govandi

Unlock the power of data with Sami Infotech's Data Analytics Courses with Power BI in Govandi. Master essential skills in data manipulation, visualization, and reporting using Excel, Power BI, and SQL. Our comprehensive Data Analytics courses in Govandi teach you how to clean and preprocess data, create interactive dashboards, and perform advanced analytics. Ideal for beginners and professionals alike, this Data Analytics training in Govandi equips you with the tools needed to excel in today's data-centric world. Enroll now to launch your data-driven career.

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WHAT'S INCLUDED

CheckIBM Certification
CheckCapstone Project
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CheckLive Projects
Check10-20 Assignments
Check10-20 Exercises
CheckCertificate of Completion

Course description

Unlock the power of data with Sami Infotech's Data Analytics Courses with Power BI in Govandi. Master essential skills in data manipulation, visualization, and reporting using Excel, Power BI, and SQL. Our comprehensive Data Analytics courses in Govandi teach you how to clean and preprocess data, create interactive dashboards, and perform advanced analytics. Ideal for beginners and professionals alike, this Data Analytics training in Govandi equips you with the tools needed to excel in today's data-centric world. Enroll now to launch your data-driven career.

Data Analytics
Excel for Data Analysis
Power BI
Data Visualization
SQL for Data Analysis
Data Cleaning
Data Preprocessing
Business Intelligence
Dashboard Creation
Data Manipulation
ETL (Extract, Transform, Load)
Data Modeling
Power Query
Power Pivot
Interactive Dashboards
Data-Driven Decision Making
Data Aggregation Techniques
Advanced Excel Functions
SQL Queries
Beginner Data Analytics Course
Data Analytics Certification
Data Analysis with Excel
Learn Power BI
Excel and Power BI Training
Data Analysis Skills
Data Extraction

What you will learn

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Learn to organize, filter, and transform data using Excel's tools and functions.

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Techniques for summarizing data through grouping, pivot tables, and formulas.

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Master complex functions for advanced data lookup and conditional calculations.

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Methods to clean and prepare data by fixing errors and inconsistencies.

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Create charts and graphs to visualize data insights effectively in both tools.

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Design interactive dashboards to display and analyze data dynamically.

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Build complex data models with relationships and calculations in Power Pivot.

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Extract, transform, and load data from various sources using Power Query.

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Write SQL queries to extract and manipulate data from relational databases.

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Develop interactive reports and dashboards in Power BI for dynamic data analysis.

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Download Syllabus

Syllabus will be sent to you via email, SMS or WhatsApp

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Curriculum

Syllabus of Data Analytics with Excel and Power BI in Govandi

Certification

At Sami Infotech, we offer a range of highly regarded certifications that add significant value to our students' professional journeys. Our certifications include both government-recognized credentials and prestigious international certifications, ensuring our graduates stand out in the global job market. These certifications validate the skills and knowledge acquired during our courses, providing a solid proof of competence to prospective employers. From local industry standards to global benchmarks, the credentials offered by Sami Infotech support career advancement in tech industries worldwide. Whether you are just starting out or looking to enhance your expertise, our certifications open doors to numerous opportunities, making them a crucial part of your educational experience.

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Suggested Job Profile

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Frequently Asked Questions

Here are some of the frequently asked questions regarding this course .

Yes, Excel and Power BI are powerful tools that are sufficient for a wide range of data analysis tasks. Excel is widely used for data manipulation, analysis, and\nreporting, offering functions for logical operations, arithmetic calculations, data\naggregation, and visualization. Power BI complements Excel by enabling more\nadvanced data visualization, dashboard creation, and real-time data interaction,\nmaking it ideal for business intelligence and data-driven decision-making.\nTogether, they provide a comprehensive suite of tools for both basic and advanced\ndata analysis.
Excel is used for data analysis in several ways:\n- Data Manipulation : Excel allows users to format, sort, filter, and manipulate data through functions like VLOOKUP, INDEX-MATCH, and PivotTables.\n- Data Aggregation : Excel supports aggregation techniques such as SUM, AVERAGE, COUNT, and more complex functions like SUMIFS and COUNTIFS.\n- Data Visualization: Excel offers a range of chart types (e.g., line, bar, pie charts) and conditional formatting for visualizing data trends and patterns.\n- Advanced Features: With Power Query and Power Pivot, Excel can handle data extraction, transformation, and complex modeling, which are essential for comprehensive data analysis.
SQL (Structured Query Language) is a programming language used for managing\nand querying relational databases. In analytics, SQL is essential for:\n- Data Retrieval: Executing SELECT queries to extract data from databases.\n- Data Manipulation: Performing operations like INSERT, UPDATE,DELETE to manage data.\n- Advanced Queries: Using JOINs, subqueries, and views to combine data from multiple tables and perform complex analyses.\n- Summarization and Grouping: Aggregating data with functions like GROUP BY, SUM, COUNT, AVG to generate analytical insights.
Preprocessing and data cleaning are crucial steps in preparing raw data for\nanalysis:\no Data Cleaning: Involves identifying and correcting errors or inconsistencies in the data, handling missing values, and ensuring that the\ndata is accurate and reliable.\no Preprocessing: Extends beyond cleaning to include data transformation,\nnormalization, and formatting, which make the data suitable for analysis or\nmodeling. This might involve converting data types, scaling variables, or\nencoding categorical data.
Data Cleaning: Specifically focuses on correcting inaccuracies, handling missing\nvalues, and resolving inconsistencies in the dataset.\nData Preparation: A broader process that includes data cleaning but also\nencompasses other tasks such as data transformation, integration, and\nnormalization. Data preparation is aimed at getting the data ready for analysis,\nensuring it is in a format that can be effectively used for the intended analytical\ntasks.