Proud to be part of  years old Women's Education Institution
Excel, a powerful spreadsheet application by Microsoft, serves as a cornerstone for data analysis and visualization. Its extensive features and functionalities make it an essential tool for professionals across various industries. From basic calculations to advanced data modeling, Excel empowers users to manipulate and analyze data efficiently.
Upcoming Course Schedule
Start Date
Day Type
Mode
Schedule
3rd Aug 2024
Weekdays
Online/Offline
3 Days a week
7th Aug 2024
Weekends
Online/Offline
Saturday & Sunday

Course Highlights

  • Practical Application
  • Data Analysis Techniques
  • Statistical Analysis
  • Dashboard Creation
  • Business Decision Making
  • Case Studies and Projects
  • Excel Tools and Functions
  • Data Visualization
  • Advanced Analytics Techniques
  • Practical Tips and Tricks

Top Skills You'll Learn

1
Introduction to Business Analytics using Excel
2
Formatting, Conditional Formatting, and Important Functions
3
Mastering Lookup Functions: VLOOKUP, HLOOKUP, INDEX, MATCH
4
Using Logical Functions: IF, ELSE, AND, OR, NOT.
5
Exploring Array Formulas for Advanced Calculations and Data Manipulation
6
Pivot Tables and Pivot Charts: Creating Dynamic Reports and Summarizing Data
7
Data Analysis Tools: Goal Seek, Solver, Scenario Manager for What-If Analysis
8
Using Power Query for Data Cleaning, Transformation, and Importing External Data
9
Introduction to Excel Macros
10
Designing Dynamic Dashboards: Interactive Charts, Slicers, and Timelines
11
Incorporating Conditional Formatting and Data Validation for Enhanced Visualization
12
Sharing and Protecting Workbooks: Collaboration and Security Best Practices
Accredited Training Partners

Eligibility Criteria

ait-eligibility-criteria
  • Any 10th pass student, Diploma holder, Graduate, Final Year Appearing students, Working Professionals who want pursue a career in Data Science
  • Graduate / Post Graduates, Industry Professionals, those who want to reshape their IT Career
  • The candidate with a bachelor’s degree in any discipline including Engineering, Science, Commerce, Medicine, Agriculture, Pharma, Mass Media, or any other branch of education
  • Candidate with professional qualification like CA, ICWA, CS is also eligible for this course
  • Candidates appearing for the final year bachelor’s degree/equivalent qualification examination
  • Those who have completed the degree requirement and are awaiting results can also apply

Insights from Students

The part time PGP is a very comprehensive course.Suitable to persons from all age groups.Faculty is a good combination of academicians and experts from industry.The course is helpful for getting knowledge as well as placement.

Ketaki Kher

The teaching at MKSSS AIT is very organized and the trainers are experienced people from industry... really useful for the current work I am doing. At the same time the teachers from AIT give enough lab time to try our hands at.. enjoying learning here!!!

Meenakshi Kulkarni

Glad to participate in the weekend PGP course. Knowledgeable and helpful faculty. Course content is comprehensive, and attention is given on an individual basis

Saloni Malwade
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AIT's Remarkable Placements

The Academy of Information Technology (AIT) is a leading force in Data Science, Machine Learning, and Artificial Intelligence, evident in its remarkable placement record. AIT's curriculum stays current with industry trends, ensuring graduates are well-prepared and at the forefront of advancements in data science, machine learning, and AI.

AIT is the best place for people who want to succeed in data science and artificial intelligence. With our focus on excellence, extensive industry relationships, and innovative teaching approach, we pave the way for your achievements.
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AIT's Competent Instructors

At AIT, our teachers are experts in Data Science, Machine Learning, and AI. They're chosen for their top qualifications and real-world experience. This means students get a great education mixing theory with practical skills.

Meet our accomplished faculty and discover how their passion and knowledge empower the next generation of professionals in data science and AI.

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