Data Analytics using Excel Course

|| Data Analytics Using Excel Course in Indore

The Data Analytics Using Excel course at BIT Indore is an in-depth program designed to equip learners with the practical skills and knowledge required to leverage Microsoft Excel for data analysis. Excel, being one of the most widely used tools across diverse sectors such as business, finance, healthcare, and marketing, plays a crucial role in organizing, analyzing, and presenting data. This course caters to individuals at various skill levels, from beginners to intermediate learners, and focuses on transforming them into proficient data analysts by mastering Excel’s core features and advanced functions.

The curriculum begins by laying a strong foundation in the basics of Excel, including data entry, formatting, and basic formulas. As the course progresses, learners dive into more complex aspects such as data manipulation, data cleaning, and advanced formulas including VLOOKUP, INDEX-MATCH, SUMIFS, and COUNTIFS, all essential for handling large datasets efficiently. The course also emphasizes how to clean and preprocess data for accurate analysis, ensuring that it is structured and free from inconsistencies.

A key component of the program is learning how to interpret data using pivot tables and pivot charts, powerful tools that allow users to summarize and visualize large amounts of information in a digestible format. Excel’s data visualization capabilities are explored in-depth, with an emphasis on creating dynamic charts, graphs, and dashboards, enabling users to present data in visually compelling ways that aid in decision-making processes.

The course also covers statistical analysis methods that help students identify trends, patterns, and correlations within data. Learners will be introduced to forecasting techniques, which help in predicting future trends based on historical data. Moreover, students will learn to create interactive dashboards that allow stakeholders to view and interact with key metrics, enhancing their ability to make quick, data-driven decisions.

Throughout the course, participants will engage in practical exercises and projects that involve real-world data sets, providing hands-on experience in data analysis. This practical approach ensures that students are not only familiar with theoretical concepts but are also capable of applying them in real-life scenarios, which is crucial for any career in data analytics.

By the end of the course, participants will have developed a comprehensive understanding of how to use Excel to perform data analysis, statistical analysis, and data visualization, making them highly capable of deriving actionable insights from data. These skills are essential for professionals in roles such as data analysts, business analysts, and financial analysts, among others. Graduates of the course will be well-prepared to handle data analysis tasks and make data-driven decisions, boosting their career prospects in various industries.

In summary, the Data Analytics Using Excel course at BIT Indore provides learners with the tools, knowledge, and experience to harness the full potential of Excel for data analysis. Upon completion, students will be equipped to use Excel effectively to analyze and visualize data, making them valuable assets in the growing field of data analytics.

|| Choose Data Analytics From BIT

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|| What will I learn?

Proficiency in managing, manipulating, and analyzing data using Excel.
Ability to perform statistical analysis and calculations.
Skills in creating charts, graphs, and dashboards to visualize insights.
Capability to generate automated reports and streamline workflows.

Ability to support strategic decision-making with data-driven insights.
Opportunities across industries for roles in data analysis, business intelligence, and more.
Ongoing development with Excel's evolving features and capabilities.

|| What will I learn?

Proficiency in managing, manipulating, and analyzing data using Excel.
Ability to perform statistical analysis and calculations.
Skills in creating charts, graphs, and dashboards to visualize insights.
Capability to generate automated reports and streamline workflows.
Ability to support strategic decision-making with data-driven insights.
Opportunities across industries for roles in data analysis, business intelligence, and more.
Ongoing development with Excel's evolving features and capabilities.

|| Requirements

Basic computer literacy, including file management.
Basic mathematical understanding (optional but beneficial).

Familiarity with fundamental Excel operations.
Interest in data analysis and willingness to learn.

|| Requirements

Basic computer literacy, including file management.
Basic mathematical understanding (optional but beneficial).
Familiarity with fundamental Excel operations.
Interest in data analysis and willingness to learn.

The Data Analytics with Excel course provides an in-depth understanding of advanced Excel functionalities for data analysis. It starts with an introduction to the Excel interface and customization tips. Participants learn advanced formulas and functions, such as IF, VLOOKUP, and INDEX-MATCH, and explore text, date and time, financial functions, and array formulas. The course covers data sorting, filtering, validation, and visualization techniques, including creating and customizing PivotTables and PivotCharts, and developing dynamic dashboards.

The course emphasizes data cleaning, preparation, and transformation using Power Query. Students receive an overview of data analytics concepts, including descriptive, diagnostic, predictive, and prescriptive analytics, and learn statistical analysis techniques. Additionally, the curriculum includes working with external data sources, automating tasks with macros and VBA, and utilizing advanced Excel features like Solver and Scenario Manager. Practical applications and case studies provide hands-on experience, while assessments and certification ensure participants can demonstrate their understanding and skills upon course completion.

Introduction to Advanced Excel:
Overview of Excel interface and features
Customizing the Excel environment
Keyboard shortcuts and productivity tips

Advanced Formulas and Functions:
Logical functions: IF, AND, OR, NOT
Lookup functions: VLOOKUP, HLOOKUP, INDEX, MATCH
Text functions: CONCATENATE, LEFT, RIGHT, MID, TEXT
Date and time functions: DATE, TIME, DATEDIF, EOMONTH
Financial functions: PMT, PV, FV, NPV, IRR
Array formulas and functions

Data Analysis with Excel:
Data sorting and filtering
Advanced data validation techniques
Using subtotals and grouping data
Conditional formatting for data visualization
Working with tables and structured references

PivotTables and PivotCharts:
Creating and customizing PivotTables
Grouping and ungrouping data in PivotTables
Using calculated fields and items
Creating PivotCharts and linking with PivotTables
Advanced PivotTable techniques and best practices

Data Visualization and Charting:
Creating various types of charts: column, bar, line, pie, scatter, etc.
Customizing chart elements and formats
Using sparklines for mini-charts
Creating dynamic and interactive dashboards
Combining charts for advanced visualizations

Data Cleaning and Preparation:
Identifying and removing duplicates
Data text-to-columns and Flash Fill
Handling missing data and outliers
Data transformation techniques
Using Power Query for data import and transformation

Introduction to Data Analytics:
Overview of data analytics concepts and terminology
Types of data analytics: descriptive, diagnostic, predictive, prescriptive
Understanding the data analytics process
Tools and technologies for data analytics

Statistical Analysis with Excel:
Descriptive statistics: mean, median, mode, standard deviation, variance
Correlation and regression analysis
Hypothesis testing: t-tests, chi-square tests
Analysis of variance (ANOVA)
Using the Analysis Toolpak add-in for statistical analysis

Working with External Data:
Importing data from various sources: CSV, text files, databases, web data
Using Power Query for data import and transformation
Connecting and querying external databases
Data consolidation from multiple sources

Automating Tasks with Macros and VBA:
Recording and editing macros
Introduction to VBA programming
Writing custom functions and procedures
Automating repetitive tasks with VBA
Debugging and error handling in VBA

Advanced Excel Features:
Using Solver for optimization problems
Scenario Manager and Goal Seek for what-if analysis
Working with large datasets and improving performance
Protecting and sharing workbooks
Using advanced Excel add-ins and tools

Practical Applications and Case Studies:
Real-life data analysis projects
Practical exercises and assignments
Case studies on business analytics, financial modeling, marketing analytics, etc.
Creating comprehensive reports and presentations

Assessments and Certification:
Periodic quizzes and tests to assess understanding
Final project and presentation
Certification upon successful completion of the course

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|| Scope of a Data Analytics in India

The scope of a Data Analytics with Excel course in India can be quite promising. Excel is widely used across industries for data analysis, reporting, and visualization due to its accessibility and powerful capabilities. Here are some aspects to consider regarding its scope in India:

Industry Relevance: Excel is widely used across various industries in India, including finance, consulting, IT services, healthcare, e-commerce, retail, and manufacturing. Almost every sector relies on Excel for data analysis, reporting, and decision-making.
Skill Demand: Employers value candidates who can effectively use Excel for tasks such as data manipulation, statistical analysis, visualization, and automation. Proficiency in Excel is often listed as a requirement in job descriptions for roles like data analysts, business analysts, financial analysts, and operations analysts.
Career Opportunities: Completing a Data Analytics with Excel course can open doors to entry-level as well as mid-level positions in companies of all sizes. These roles typically involve working with large datasets, deriving insights, and presenting findings to support business strategies.
Foundation for Advanced Skills: Excel proficiency serves as a solid foundation for advancing into more specialized areas such as data science, business intelligence, or financial modeling. It provides essential skills that are transferrable across different roles and industries.
Continuous Learning: Excel is constantly evolving with new features and capabilities. Therefore, staying updated with the latest advancements can enhance career prospects and adaptability in the job market.

Overall, pursuing a Data Analytics with Excel course can open doors to diverse career paths and enhance your employability in the Indian job market, especially if you're interested in roles that require strong analytical and Excel skills.

|| Data Analytics Career Option & Job Opportunities in India

Completing a Data Analytics with Excel course can open up several job roles, as Excel remains a widely used tool in the industry for data analysis. Here are some potential job roles for those who have completed such a course:

Data Analyst: Responsible for collecting, processing, and performing statistical analyses on large datasets. Excel is often used for data cleaning, visualization, and reporting.
Business Analyst: Uses data analysis to support business decision-making. Excel helps in creating dashboards, generating reports, and performing cost-benefit analyses.
Financial Analyst: Analyzes financial data to help businesses make informed financial decisions. Excel is used extensively for financial modeling, budgeting, and forecasting.
Market Research Analyst: Studies market conditions to examine potential sales of a product or service. Excel is used for data collection, survey analysis, and presentation of research findings.
Operations Analyst: Focuses on improving organizational efficiency. Excel is utilized for process analysis, workflow optimization, and operational reporting.
Data Visualization Specialist: Creates visual representations of data to help stakeholders understand complex information. Excel tools like charts, graphs, and pivot tables are essential for this role.
Reporting Analyst: Prepares regular reports and dashboards to monitor and communicate business performance metrics. Excel's reporting features are crucial for compiling and presenting data.
Research Analyst: Conducts research and analyzes data to support strategic planning and decision-making. Excel is used for data manipulation, analysis, and visualization.
Sales Analyst: Analyzes sales data to identify trends and performance metrics. Excel helps in sales forecasting, trend analysis, and sales performance reporting.
Human Resources Analyst: Analyzes HR data to improve workforce management and planning. Excel is used for employee data analysis, turnover reports, and compensation analysis.

These roles leverage the analytical capabilities of Excel to transform data into actionable insights, making proficiency in Excel an essential skill in data-driven industries.

|| Average Salary for Data Analytics in India

The average salary for individuals with expertise in Data Analytics using Excel in India varies by experience level. Here is a breakdown:

Entry-level (0-2 years of experience): ₹3 to ₹5 lakhs per annum
Mid-level (2-5 years of experience): ₹5 to ₹8 lakhs per annum
Senior-level (5+ years of experience): ₹8 to ₹12 lakhs per annum or more, depending on the specific role and industry.

These figures can vary based on factors such as the industry, the specific role, the city of employment, and the individual's additional skills and certifications.

|| Data Analyst can lead to promising placement opportunities

In India, completing a Data Analytics with Excel course can lead to promising placement opportunities across various industries. Organizations across sectors such as finance, consulting, healthcare, retail, and IT services heavily rely on Excel for data analysis and reporting. Graduates of such courses are often sought after for roles such as data analysts, business analysts, financial analysts, and operations analysts. These roles involve tasks like data manipulation, statistical analysis, creating dashboards and reports, and using Excel's advanced functions and tools to derive insights from data.

Placement opportunities can range from entry-level positions where Excel proficiency is key, to mid-level roles where advanced Excel skills coupled with domain-specific knowledge are highly valued. Many companies prefer candidates who can demonstrate practical skills in data handling and analysis, making a Data Analytics with Excel course a valuable asset for securing placements in competitive job markets like India. Additionally, the skills learned in this course can serve as a solid foundation for further career advancement in fields such as data science and business intelligence.

|| Empowering Your Career Transition From Learning To Leading

Divyanshi Suryawanshi

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Divyanshi Suryawanshi, a proud BIT graduate, is excelling as a Data Analyst at Tacttree LLP. Her expertise in data analysis and problem-solving, built through BIT's strong focus on technical and software skills, showcases how the institute prepares students for success in data-driven industries beyond traditional engineering roles.

Dixita Vandra

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Dixita Vandra, a proud BIT graduate, is successfully working as a Customer Service Associate at The Home Depot. With strong communication skills and a professional approach nurtured at BIT, she exemplifies how the institute prepares students for global opportunities, combining technical knowledge with real-world readiness across diverse career paths.

Shivam Uttekar

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Shivam Uttekar, a proud BIT graduate, is excelling as a Data Analyst at Tacttree LLP. BIT's strong focus on technical training and software proficiency has enabled students like Shivam to succeed in data-centric roles, proving that the institute prepares graduates not just for mechanical careers but for dynamic opportunities across various industries.

Duhita Tandon

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Duhita Tandon, a proud BIT graduate, is making great strides as a Data Analyst at Gavit e-Services. With a solid foundation in data handling, analysis, and software skills built at BIT, she is well-equipped for the data-driven industry. BIT continues to empower students with relevant technical expertise and practical skills beyond core mechanical engineering, ensuring career success in diverse fields.

Rajvi Suthar

5

Rajvi Suthar, excelling as a Data Analyst at Tata Consultancy Services (TCS), leverages unique tools such as Python for scripting, R for statistical analysis, and Alteryx for data blending. Her adept use of these cutting-edge tools contributes to efficient and advanced data analysis solutions.

|| Several companies across various sectors in India rely on Data Analytics

Several companies across various sectors in India rely on Data Analytics with Excel skills for their business operations and decision-making processes. Here are some examples of companies that commonly use Excel for data analytics:

Consulting Firms:
McKinsey & Company
Boston Consulting Group (BCG)
Accenture
Deloitte

Financial Services:
HDFC Bank
ICICI Bank
Axis Bank
Bajaj Finance

IT Services:
Infosys
Tata Consultancy Services (TCS)
Wipro
Tech Mahindra

E-commerce and Retail:
Amazon India
Flipkart
Reliance Retail
BigBasket

Healthcare:
Apollo Hospitals
Cipla
Max Healthcare
Dr. Reddy's Laboratories

Market Research:
Nielsen India
Kantar
Ipsos India
Market Xcel

Manufacturing and Logistics:
Tata Steel
Maruti Suzuki
DHL India
Hindustan Unilever Limited (HUL)

These companies use Excel for a variety of purposes such as data analysis, financial modeling, sales forecasting, inventory management, and operational analytics. Proficiency in Data Analytics with Excel can therefore be highly advantageous for job seekers aiming to join these organizations in India.

|| Top Hiring Companies

Hiring Companies ,Top Companies ,Job Placement ,TCS,HCL ,NUMERATOR,INFOSYS,HCL ,ORACAL, PMC,MICROSOFT ,L&T ,Top Hiring Companies at BIT ,Top Placement Opportunities at BIT

|| Job Roles and Salary

Data Analyst

Business Analyst

Financial Analyst

Market Research Analyst

Operations Analyst

Data Visualization Specialist

Reporting Analyst

Research Analyst

0-2 years

2-5 years

5+ years

|| Get Data Analytics with Certification

Three easy steps will unlock your Data Analytics with Excel Course Certification:

Finish the online / offline course of Data Analytics with Excel Course and the Assignment
Take on and successfully complete a number of industry-based Projects
Pass the Data Analytics with Excel Course certification exam

The certificate for this Data Analytics with Excel course will be sent to you through our learning management system, where you can also download it. Add a link to your certificate to your CV or LinkedIn profile.