Description
Data Analytics Using Advance Excel
Master the art of data analysis using advance Excel! We can also say Advance excel training in Gurgaon and Data Analytics using advance Excel Course is designed to equip you with the skills needed to analyze and visualize data effectively. To add, whether you’re a beginner or looking to enhance your Excel proficiency, this course will take you through essential data analytics techniques, including data cleaning, manipulation, and visualization. By the end of the course, you’ll be able to confidently use Excel to derive valuable insights from your data, making informed decisions that drive business success.
- English
- English, Hindi
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Upcoming Batch !!!
Starting from Upcoming Saturday
10:00 am – 2:00 pm
- 90 Hours Online Classroom Sessions
- 11 Module 04 Projects 5 MCQ Test
- 6 Months Complete Access
- Access on Mobile and laptop
- Certificate of completion
65,000 Students Enrolled
What we will learn
- Connection, Navigation, Data Sources
- Data Extraction, Data Prep
- Data Pre-Processing
- Exploratory Data Analytics
- Data Wrangling
- Data Cleansing
- Data Munging
- Statistics For Business Analytics
- Data Analytics
- Strategic Decisions Making
- Data Visualization
- Pivot Tables
Exploring Data Analytics using Advance Excel Training in Gurgaon?
This course is designed to provide participants with a comprehensive understanding of how to gain proficiency in Data Analytics using Advance Excel. Excel is a powerful tool that can be used to analyze, visualize, and present data in a meaningful way. Participants will learn various techniques and functions in Excel that are essential for data analysis, including data cleaning, manipulation, and visualization.
In summary, learning Advance Excel PowerBI and SQL equips you with a comprehensive skill set for data analysis. SQL helps you manage and manipulate data efficiently, while PowerBI empowers you to visually communicate insights, making you a well-rounded and effective data analyst.
Key Learning Objectives?
- Understand the basics of data analytics using advance Excel and its importance in decision-making.
- Learn how to use Excel functions for data cleaning, manipulation, and analysis.
- Gain proficiency in creating charts, graphs, and pivot tables to visualize data effectively.
- Learn advanced Excel functions for complex data analysis and reporting.
- Apply data analytics techniques to real-world data sets and scenarios.
Want to discuss your roadmap to be a Data Analyst?
Are you interested in pursuing a career as a data analyst, it’s essential to create a roadmap that outlines the key steps and milestones along the way. Becoming a data analyst using PowerBI and SQL involves acquiring a combination of technical and analytical skills.
Join us for an inspiring conversation in our head office which is in gurgaon where we will deep dive into your own journey and discuss the clear cut roadmap to become a business analyst. Let’s start the journey to be a data scientist in the exciting world of data science together!
Advantages
Countless Batch Access
Learn from anywhere
Industry Endorsed Curriculum
Industry Expret Trainers
Career Transition Guidance
Interview Preparation Techniques
Shareable Certificate
Real-Time Projects
Class recordings
Course Mentor
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Saurabh
- 10 + Batches
- 4.8 Star Rating
- 159 Students Trained
- 130+ Successfully Placed
Hi I am Saurabh and I am super excited that you are reading this.
I’m thrilled to reach out to you as the lead trainer for our upcoming Data Analytics using advance Excel Mastery course. As someone passionate about the transformative power of data, I believe this program will not only enhance your skills but also open new doors to exciting opportunities in the world of business analytics.
From this course you will get to know how I combine my working knowledge, experience and qualification background in computer science to deliver training step by step.
Course Content
LESSONS | LECTURES | DURATION |
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Module 1: Introduction to Excel for Analytics
Overview of Excel as an analytics tool
Importance of Excel in data analysis
Excel interface and basic navigation
Module 2: Essential Excel Functions for Data Analysis
Understanding and using basic functions (SUM, AVERAGE, COUNT)
Working with mathematical and statistical functions
Text functions for data cleaning and manipulation
Logical functions (IF, AND, OR)
Module 3: Data Import and Cleaning in Excel
Importing data from various sources (CSV, Excel, databases)
Data cleaning techniques and best practices
Handling missing data
Module 4: Data Visualization in Excel
Creating basic charts (bar charts, line charts, pie charts)
Formatting and customizing charts
Using sparklines for trend analysis
Module 5: PivotTables and PivotCharts
Introduction to PivotTables
Creating PivotTables for data summarization
Building PivotCharts for visual analysis
Module 6: Advanced Excel Functions for Analytics
VLOOKUP and HLOOKUP for data retrieval
INDEX and MATCH functions
Advanced IF statements and nested functions
Using array formulas
Module 7: Data Analysis with Excel Tables
Introduction to Excel Tables
Sorting and filtering data in tables
Using structured references
Introduction to Data Analytics using Advance Excel
- Understanding the data analytics process
- Importance of data analytics in business decision-making
Excel Basics for Data Analytics
- Introduction to Excel interface and basic functions
- Data entry and formatting in Excel
Data Cleaning and Preparation
- Removing duplicates and filtering data
- Handling missing values and errors in data
Data Analysis Techniques
- Sorting and filtering data
- Using formulas and functions for data analysis
Data Visualization creating charts and graphs in Excel
Using conditional formatting for visual data analysis
TOTAL | 28 LECTURES | 84:20:00 |
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What Our Students Say About Us
Palin Analytics
We are dedicated to empowering professionals as well as freshers with the skills and knowledge which is needed to upgrade in the field of Data Science. Whether you’re a beginner or a professional, our structured training programs are well designed to handle all levels of expertise.
Are you ready to explore your Data Science adventure? Watch a live recorded demo video now and discover the endless possibilities way of teaching, way of handling queries. Awaiting for you at Palin Analytics!
Student feedback
Deepika
Kushal is a good instructor for Data science. He cover all real world projects. He provided very good study materials and high support provided by him for interview prepration. Overall best online course for Data Science.
Deepak Jaiswal
This is a very good place to jump start on your focus area. I wanted to learn python with a focus on data science and i choose this online course. Kushal who is the faculty, is an accomplished and learned professional. He is a very good trainer. This is a very rare combination to find.
Instructor
Thank you Deepak…
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FAQ's
Business Analytics is a discipline that involves the use of data analysis and statistical methods to make informed business decisions and drive strategic planning. It leverages various techniques, tools, and technologies to extract actionable insights from raw data, enabling organizations to optimize their operations, identify trends, and gain a competitive advantage.
Becoming a data analyst using Tableau and SQL involves acquiring a combination of technical and analytical skills.
Its Live interactive training, Ask your quesries on the go, no need to wait for doubt clearing.
you will have access to all the recordings, you can go through the recording as many times as you want.
During the training and after as well we will be on the same slack channel, where trainer and admin team will share study material, data, project, assignment.
SQL (Structured Query Language) is a popular language used for managing and manipulating relational databases. The difficulty of learning SQL depends on your previous experience with programming, databases, and the complexity of the queries you want to create. Here are a few factors that can affect the difficulty of learning SQL:
Prior programming experience: If you have experience with other programming languages, you may find it easier to learn SQL as it shares some similarities with other languages. However, if you are new to programming, it may take you longer to grasp the concepts.
Familiarity with databases: If you are familiar with databases and data modeling concepts, you may find it easier to understand SQL queries. However, if you are new to databases, you may need to spend some time learning the basics.
Complexity of queries: SQL queries can range from simple SELECT statements to complex joins, subqueries, and window functions. The complexity of the queries you want to create can affect how difficult it is to learn SQL.
Overall, SQL is considered to be one of the easier programming languages to learn. It has a straightforward syntax and many resources available for learning, such as online courses, tutorials, and documentation. With some dedication and practice, most people can learn the basics of SQL in a relatively short amount of time.
you can write your questions at info@palin.co.in we will address your questions there.
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