Data Analytics using Excel Course

|| Data Analytics Using Excel Course in Surat

The Data Analytics Using Excel Course in Surat offers a robust introduction to data analysis, focusing on using Microsoft Excel to efficiently handle and analyze large datasets. Participants will start by learning the basics of Excel, including essential features and keyboard shortcuts to increase productivity. The course covers advanced functions, such as logical, lookup, text manipulation, and financial formulas, as well as essential data management techniques, including sorting, filtering, and validation for effective data preparation.

In the Excel classes, participants will gain hands-on experience working with advanced Excel tools like PivotTables and PivotCharts, which allow them to summarize and visualize complex data. The training also covers statistical analysis methods, including correlation analysis, regression modeling, and hypothesis testing, using Excel’s built-in features. Learners will have the opportunity to apply their skills through real-world case studies, building practical experience in data analytics and visualization.

At the end of the Data Analytics Using Excel Course in Surat, participants will receive a certification that demonstrates their ability to analyze data and create insightful visualizations using Excel. This certification enhances job prospects and serves as proof of proficiency in data analysis. Graduates will be equipped with the skills needed to support data-driven decision-making across various industries.

The Data Analytics Using Excel Course in Surat prepares participants for a successful career in data analytics, offering a strong mix of theory and practical skills. With hands-on projects and case studies, this course ensures you are ready to solve real-world challenges. Start your journey today and gain the knowledge and certification to advance your career in data analytics!

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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.

|| job Roles & salary

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|| 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

Rajvi Suthar

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.

Sarthak Gupta

Sarthak Gupta, demonstrating mastery as a Business Data Analyst at Accenture, leverages unique tools such as Power BI for visual analytics, Python for data scripting, and Alteryx for data blending. His adept use of these cutting-edge tools contributes to efficient and advanced business data analysis solutions.

Megha Bhatt

Megha Bhatt, demonstrating prowess as a ML Engineer at Cognizant, leverages unique tools such as Alteryx for advanced data blending, Google BigQuery for large-scale data analytics. Her adept use of these cutting-edge tools contributes to innovative and efficient data analysis.

Rishabhjit Saini

Rishabhjit Saini, demonstrating mastery as a Senior Data Processing professional at NielsenIQ, leverages unique tools such as Talend for data integration, Apache Spark for big data processing, and Trifacta for advanced data wrangling. His adept use of these cutting-edge tools contributes to efficient and innovative data handling.

Darshna Dave

Darshna Dave, excelling as a Data Engineer at Deepak Foundation post-IT institute, showcases expertise in unique tools such as KNIME for data analytics workflows, Apache Superset for interactive data visualization, and RapidMiner for advanced predictive analytics.

Shubham Ambike

Shubham Ambike, excelling as a Digital MIS Executive at Alois post-IT institute, showcases expertise in tools like Microsoft Excel, Power BI, and Google Analytics. His adept use of these tools contributes to efficient data management and analysis. Congratulations on his placement.

Mehul Sirohi

Mehul Sirohi, excelling as a Data Associate at Numerator post-IT institute, skillfully employs unique tools such as Alteryx for data blending, Jupyter Notebooks for interactive data analysis, and Looker for intuitive data visualization. His mastery of these advanced tools contributes to Numerator's data processing success.

|| 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

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|| 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.

Data Analytics using Excel Course in Surat

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