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One Day Course In Data Analytics With Excel

Data Analytics with Excel (One-Day Course) In this one-day course, participants will learn the essential tools and techniques for data analytics using Microsoft Excel. The course covers data cleaning, sorting, filtering, and visualizing data through charts and graphs. Participants will also explore functions like PivotTables, VLOOKUP, and basic formulas to analyze and summarize data efficiently. By the end of the course, attendees will be able to perform data-driven decision-making using Excel, making it ideal for beginners or professionals looking to enhance their analytical skills.

Beginner 5(116 Ratings) 0 Students enrolled English
Created by Admin s
Last updated Sat, 21-Sep-2024
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Course overview

Mercury Mentors is dedicated to helping students build their careers by offering affordable, high-quality courses designed to equip them with essential skills and knowledge. By providing access to expert instructors and a focused curriculum at a low cost, Mercury Mentors ensures that students can enhance their employability without financial burden. The platform fosters a supportive learning environment, enabling students to network with peers and industry professionals, gain practical insights, and develop competencies that are highly valued in the job market. This commitment to accessible education empowers students to take significant steps toward achieving their career goals.

Data Analytics with Excel

The Data Analytics with Excel course is a deep dive into the powerful data analysis capabilities of Microsoft Excel. This course is designed for individuals looking to harness the full potential of Excel for making data-driven decisions in a professional setting. Whether you're a beginner or an intermediate user, this course will guide you through essential tools and techniques that transform raw data into actionable insights.

What You’ll Learn:

1. Introduction to Data Analytics

   - Understand the role of data analytics in decision-making.

   - Learn the importance of data cleaning and preparation before analysis.


2. Data Cleaning and Management

   - Learn best practices for organizing and managing datasets.

   - Techniques for cleaning data, handling missing values, removing duplicates, and preparing datasets for analysis.

   - Explore Excel features such as Find & Replace, Text-to-Columns, and Flash Fill for quick data manipulation.


3. Sorting, Filtering, and Conditional Formatting

   - Use sorting and filtering options to organize and view data more effectively.

   - Apply conditional formatting to highlight important trends or anomalies in data.


4. Excel Formulas and Functions

   - Master essential Excel functions for data analysis, including SUM, AVERAGE, COUNT, IF, and more.

   - Explore powerful lookup functions like VLOOKUP, HLOOKUP, and the more advanced XLOOKUP.

   - Learn how to use logical functions (IF, AND, OR) to enhance decision-making processes.


5. PivotTables and PivotCharts

   - Learn how to create and customize PivotTables to summarize large datasets with ease.

   - Explore grouping, sorting, and filtering within PivotTables for better insights.

   - Create PivotCharts to visualize your data summaries dynamically.


6. Data Visualization

   - Use Excel’s charting tools to create clear and effective data visualizations.

   - Learn when and how to use different types of charts, including bar, line, pie charts, and histograms.

   - Introduction to advanced visualizations such as Sparklines and Dynamic Charts.


7. Data Analysis Tools

   - Use Excel's built-in data analysis tools such as Goal Seek, Solver, and Scenario Manager to explore different decision-making scenarios.

   - Analyze trends and make forecasts using trendlines and moving averages.


8. Working with Large Datasets

   - Explore tips and tricks for working with large datasets in Excel without sacrificing performance.

   - Learn how to use Excel's Tables and Named Ranges for better data management.

Course Format:

This hands-on course combines lectures, demonstrations, and practical exercises to ensure participants are confident in their ability to apply the techniques learned. Real-world case studies and datasets will be used, allowing participants to practice performing data analysis in a business context. By the end of the course, participants will have developed a complete, data-driven report using Excel’s powerful features.

 Who Should Attend?

- Beginners to Intermediate Excel Users Ideal for those who use Excel regularly but want to deepen their understanding of its analytical capabilities.

- Data Analysts: Professionals seeking to improve their data management and analysis skills.

- Managers & Decision Makers For those who want to make more informed, data-driven decisions using Excel’s analytics features.

- Business Professionals Perfect for anyone looking to enhance their reporting and analytical skills for better business insights.

Benefits of the Course:

- Enhanced Data-Driven Decision Making Gain practical experience in analyzing and interpreting data to make better business decisions.

- Improved Productivity Learn how to use Excel’s advanced features to streamline your data analysis process, saving time and improving accuracy.

- Real-World Applications Apply the skills you learn to real business scenarios, ensuring you can use these tools effectively in your professional life.

- Interactive Learning Environment Small class sizes and hands-on exercises guarantee that you’ll receive personal guidance and feedback from the instructor.

Course Outcomes:

By the end of the Data Analytics with Excel course, participants will have mastered key Excel features for data management, analysis, and visualization. You'll be able to clean and organize data, perform detailed analysis using formulas and PivotTables, and create compelling charts and reports to communicate your findings effectively. This course provides a solid foundation for anyone looking to use Excel as a powerful tool in data analytics, business intelligence, and decision-making.

Why Enroll?

 Networking Opportunities: Connect with industry professionals and peers.

 Resource Materials: Access exclusive readings and materials.

 Certificate of Completion: Enhance your resume with a recognized credential.

 Q&A Session: Engage directly with experienced practitioners.

 FollowUp Support: Discover further learning and career opportunities in the field.

7. Get access 650+ HR's email ID's hiring

What will i learn?

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Curriculum for this course
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Admin s

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Reviews

  • Ishani Neelam
    The Data Analytics with Excel course was outstanding! It significantly enhanced my resume.
  • Gauri Pooja
    I gained essential Excel skills that I can effectively showcase on LinkedIn.
  • Manya Khushi
    Mock interviews included relevant data scenarios, boosting my confidence for job applications.
  • Rhea Anaya
    Understanding data visualization improved my analytical abilities tremendously.
  • Tanisha Devi
    The course clarified key concepts like pivot tables and VLOOKUP, now highlighted on my resume.
  • Charvi Tanya
    Networking with fellow participants expanded my professional connections in analytics.
  • Amaya Simran
    The instructors were knowledgeable, providing real-world examples that made learning engaging.
  • Lavanya Raima
    Hands-on labs reinforced my understanding of Excel functions and formulas.
  • Neha Sari
    I learned to analyze datasets effectively, enhancing my LinkedIn profile.
  • Eesha Anika
    This training provided a solid foundation in data analytics principles.
  • Radhya Anvi
    The emphasis on statistical analysis was particularly beneficial for my skill set.
  • Pihu Kavita
    I updated my LinkedIn profile to reflect my new data analytics skills.
  • Urvi Tanvi
    The course covered the latest trends in data analytics using Excel effectively.
  • Vanya Shree
    I feel much more prepared for data analyst roles after completing this course.
  • Jiya Falguni
    Mock interviews included relevant analytics questions that helped me practice effectively.
  • Kriti Aditi
    Learning about Excel's data cleaning techniques was a critical skill I gained from this course.
  • Deepa Mehak
    The interactive discussions encouraged participation and made learning enjoyable.
  • Shreya Nidhi
    I received constructive feedback that helped refine my analytical techniques.
  • Oviya Suman
    The course taught me how to create impactful dashboards.
  • Aditi Isha
    Understanding data interpretation improved my overall analytical knowledge.
  • Aditya Kiran
    This course is an excellent addition to my professional development plan.
  • Raghav Arman
    The hands-on exercises were crucial for applying what I learned in real scenarios.
  • Shivam Prateek
    I now feel more confident in using Excel for data analysis tasks.
  • Aryan Gautam
    The trainers were experienced professionals who shared valuable industry insights.
  • Harit Sameer
    I learned how to present data effectively, which is essential for my role.
  • Kunal Aman
    The course helped me develop a better understanding of Excel?s advanced functions.
  • Aman Jatin
    The focus on real-world applications was enlightening and necessary.
  • Samar Arush
    I found the discussions on data-driven decision-making particularly informative.
  • Rivan Akash
    This course has truly prepared me for a successful career in data analytics.
  • Tarun Bhavesh
    The course emphasized the importance of accuracy in data analysis.
  • Lakshya Arya
    I gained knowledge of various Excel tools, enhancing my overall skill set.
  • Nishit Harsh
    The course provided valuable resources for further learning and exploration.
  • Keshav Rishabh
    I feel equipped to tackle data analytics challenges in real-world scenarios.
  • Rohit Tejas
    Collaborative projects helped me build teamwork skills essential for analytics environments.
  • Anirudh Samir
    I appreciated the focus on practical applications, making the concepts relatable.
  • Yash Arvind
    The course's emphasis on problem-solving was invaluable for my analytical growth.
  • Shaurya Dev
    I learned how to automate tasks using Excel macros effectively.
  • Dev Omkar
    The hands-on labs were essential for reinforcing theoretical concepts in practice.
  • Aryan Prabhav
    I now have a clearer understanding of forecasting techniques.
  • Dhairya Neeraj
    The focus on interpreting data trends was particularly beneficial.
  • Bhavik Ketan
    The course was well-structured and kept me engaged throughout.
  • Ritesh Ashutosh
    I feel more confident discussing data analytics topics in interviews.
  • Arush Anirudh
    The course provided insights into industry-standard analytics practices.
  • Anay Raghav
    I learned effective strategies for conducting A/B testing in Excel.
  • Tarun Dhruv
    The focus on data integrity was an important aspect of the course.
  • Anika Manvi
    I now have a solid foundation to build my analytics career upon.
  • Aakriti Sneha
    The trainers provided feedback that was instrumental in my growth.
  • Aarav Vir
    I learned how to integrate Excel with other data tools efficiently.
  • Ayaan Dev
    The course helped me understand the significance of data storytelling.
  • Rohan Arjun
    I found the course to be highly applicable to my current role.
  • Kunal Raj
    The course covered Excel's data analysis toolpak, which was very helpful.
  • Vishal Kumar
    I now feel prepared to take on data-centric projects at work.
  • Rishan Nivaan
    The collaborative atmosphere enhanced my learning experience significantly.
  • Reyansh Jai
    I appreciated the diverse range of topics covered throughout the course.
  • Arjun Veer
    Overall, the Data Analytics with Excel course exceeded my expectations and improved my career prospects.
  • Aadhav Pranav
    The Data Analytics with Excel course was outstanding! It significantly enhanced my resume.
  • Dhruv Rajan
    I gained essential Excel skills that I can effectively showcase on LinkedIn.
  • Kabir Aayush
    Mock interviews included relevant data scenarios, boosting my confidence for job applications.
  • Manan Sai
    Understanding data visualization improved my analytical abilities tremendously.
  • Harshith Yash
    The course clarified key concepts like pivot tables and VLOOKUP, now highlighted on my resume.
  • Uday Karan
    Networking with fellow participants expanded my professional connections in analytics.
  • Om Akash
    The instructors were knowledgeable, providing real-world examples that made learning engaging.
  • Shiven Mehta
    Hands-on labs reinforced my understanding of Excel functions and formulas.
  • Parth Aryan
    I learned to analyze datasets effectively, enhancing my LinkedIn profile.
  • Tanish Kumar
    This training provided a solid foundation in data analytics principles.
  • Akshay Veer
    The emphasis on statistical analysis was particularly beneficial for my skill set.
  • Jatin Raghav
    I updated my LinkedIn profile to reflect my new data analytics skills.
  • Nivaan Arya
    The course covered the latest trends in data analytics using Excel effectively.
  • Tanay Ritesh
    I feel much more prepared for data analyst roles after completing this course.
  • Iyaan Sahil
    Mock interviews included relevant analytics questions that helped me practice effectively.
  • Vihaan Shiv
    Learning about Excel's data cleaning techniques was a critical skill I gained from this course.
  • Devansh Lakshya
    The interactive discussions encouraged participation and made learning enjoyable.
  • Aanya Rhea
    I received constructive feedback that helped refine my analytical techniques.
  • Saanvi Tara
    The course taught me how to create impactful dashboards.
  • Kavya Priya
    Understanding data interpretation improved my overall analytical knowledge.
  • Diya Nisha
    This course is an excellent addition to my professional development plan.
  • Avni Meera
    The hands-on exercises were crucial for applying what I learned in real scenarios.
  • Zara Alia
    I now feel more confident in using Excel for data analysis tasks.
  • Isha Neelam
    The trainers were experienced professionals who shared valuable industry insights.
  • Rhea Anaya
    I learned how to present data effectively, which is essential for my role.
  • Gauri Pooja
    The course helped me develop a better understanding of Excel?s advanced functions.
  • Tanisha Devi
    The focus on real-world applications was enlightening and necessary.
  • Manya Khushi
    I found the discussions on data-driven decision-making particularly informative.
  • Ishani Falguni
    This course has truly prepared me for a successful career in data analytics.
  • Neha Sari
    The course emphasized the importance of accuracy in data analysis.
  • Aditi Nidhi
    I gained knowledge of various Excel tools, enhancing my overall skill set.
  • Charvi Tanya
    The course provided valuable resources for further learning and exploration.
  • Lavanya Raima
    I feel equipped to tackle data analytics challenges in real-world scenarios.
  • Eesha Mehak
    Collaborative projects helped me build teamwork skills essential for analytics environments.
  • Mira Payal
    I appreciated the focus on practical applications, making the concepts relatable.
  • Radhya Anvi
    The course's emphasis on problem-solving was invaluable for my analytical growth.
  • Pihu Kavita
    I learned how to automate tasks using Excel macros effectively.
  • Urvi Tanvi
    The hands-on labs were essential for reinforcing theoretical concepts in practice.
  • Vanya Shree
    I now have a clearer understanding of forecasting techniques.
  • Jiya Simran
    The focus on interpreting data trends was particularly beneficial.
  • Kriti Aditi
    The course was well-structured and kept me engaged throughout.
  • Amaya Gita
    I feel more confident discussing data analytics topics in interviews.
  • Aarav Shub
    The course provided insights into industry-standard analytics practices.
  • Advait Pranav
    I learned effective strategies for conducting A/B testing in Excel.
  • Akash Vikram
    The focus on data integrity was an important aspect of the course.
  • Ayaan Harsh
    I now have a solid foundation to build my analytics career upon.
  • Bhavesh Ranjan
    The trainers provided feedback that was instrumental in my growth.
  • Chaitanya Raghav
    I learned how to integrate Excel with other data tools efficiently.
  • Daksh Prithvi
    The course helped me understand the significance of data storytelling.
  • Eshan Kunal
    I found the course to be highly applicable to my current role.
  • Gaurav Tej
    The course covered Excel's data analysis toolpak, which was very helpful.
  • Ishaan Ritesh
    I now feel prepared to take on data-centric projects at work.
  • Jai Prakash
    The collaborative atmosphere enhanced my learning experience significantly.
  • Krish Vikas
    I appreciated the diverse range of topics covered throughout the course.
  • Lakshay Rohan
    Overall, the Data Analytics with Excel course exceeded my expectations and improved my career prospects.
  • Gauri Nandini
  • Sonal Kumari
  • Ritika Bhavna
  • Arjun Kumar
  • Krish Verma
  • Manoj Singh
199₹
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