What you'll get
  • 60+ Hours
  • 19 Courses
  • Course Completion Certificates
  • Self-paced Courses
  • Technical Support
  • Case Studies

Synopsis

  • Focuses on Time Series Analysis and Forecasting using Microsoft Excel.
  • Emphasizes practical, real-world data applications.
  • Delivered through self-paced video lessons.
  • Includes multiple courses and hands-on projects.
  • Provides verifiable completion certificates with unique links.
  • Suitable for beginners with basic Excel knowledge.

Content

Courses No. of Hours Certificates Details
Statistical Tools in Microsoft Excel1h 11mView Curriculum
Microsoft Excel for Data Analyst2h 35mView Curriculum
Gantt Chart Tutorials58mView Curriculum
Microsoft Excel Charts and SmartArt Graphics6h 43mView Curriculum
Power Excel Training5h 15mView Curriculum
Microsoft Excel Reports7h 7mView Curriculum
Courses No. of Hours Certificates Details
Pivot Table1h 28mView Curriculum
Pivot Tables in Microsoft Excel 20132h 3mView Curriculum
Pivot Tables Course4h 58mView Curriculum
Power Pivot in Microsoft Excel 20163h 31mView Curriculum
Issue Solving and Macro in Pivot Table1h 11mView Curriculum
Pivot Table Presentation3h 7mView Curriculum
Excel Smart Arts and Graphics1h 11mView Curriculum
Courses No. of Hours Certificates Details
Microsoft Excel Simulations Training2h 06mView Curriculum
Business Intelligence using Microsoft Excel5h 06mView Curriculum
Sales Productivity Dashboard - Beginners Training6h 41mView Curriculum
Building Dynamic Heat Map in Microsoft Excel 20161h 15mView Curriculum
Creating Sales Dashboard using Microsoft Excel1h 3mView Curriculum
Microsoft Excel Dashboard Training5h 45mView Curriculum

Description

This course provides comprehensive training in applying Microsoft Excel for time-series analysis and forecasting. It combines theoretical foundations with practical implementation, enabling learners to work confidently with chronological data sets, identify patterns, and generate predictive models. Through guided tutorials and exercises, participants learn to use Excel’s built-in statistical tools and functions to produce meaningful insights for business and analytical decision-making.

Sample Certificate

Course Certification

Goals

  • Build strong analytical skills using Excel.
  • Enable learners to create accurate forecasting models.
  • Develop confidence in interpreting time-based data.
  • Connect theoretical knowledge with practical, real-world implementation.

Objectives

  • Understand core concepts of time series analysis.
  • Apply Excel tools and formulas for forecasting.
  • Analyze trends, seasonality, and patterns in datasets.
  • Work with statistical forecasting techniques.
  • Complete practical projects to reinforce learning.

Highlights

  • Self-paced video learning format.
  • Real-world examples and exercises.
  • Multiple forecasting methodologies.
  • Hands-on projects and assignments.
  • Industry-recognized, verifiable certificates.
  • Beginner-friendly structure with gradual progression.

Requirements

  • Basic computer skills.
  • Fundamental knowledge of Microsoft Excel or spreadsheets.
  • Familiarity with simple formulas and functions.
  • Availability of a computer along with reliable internet access.
  • Interest in learning data analysis concepts.

Target Audience

  • Commerce and business students.
  • BBA, MBA, and management learners.
  • Data and business analysts.
  • Sales and marketing professionals.
  • Entrepreneurs and finance aspirants.
  • Working professionals across industries.
  • Anyone interested in Pivot Tables or Excel analytics.

FAQ

Q1. Do learners receive a certificate?
Yes. Each completed course and project includes a verifiable certificate with a unique validation link.
Q2. Is prior work experience required?
No professional background is necessary. Basic Excel familiarity is sufficient.
Q3. Is the course live or recorded?
The training is fully self-paced with pre-recorded video lessons.
Q4. What software is required?
Microsoft Excel (preferably Excel 2016 or later) is recommended.

Career Benefits

  • Enhances data analysis and forecasting capabilities.
  • Strengthens Excel proficiency for business environments.
  • Improves employability in analytics and finance roles.
  • Adds credible certifications to resumes and LinkedIn profiles.
  • Supports career growth in data-driven decision-making roles.
  • Equips learners with practical skills valued across industries.