Sales Training: Practical Sales Techniques

sumit
Sumit Kumar
purvi121 (1)
Purvi Pipariya
Last Update January 1, 2023
0 already enrolled

About This Course

Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently.

Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks. This is an introductory course on the key concepts of planning and executing projects.

We will identify factors that lead to project success, and learn how to plan, analyze, and manage projects. Learners will be exposed to state-of-the-art methodologies and to considering the challenges of various types of projects.

Learning Objectives

Develop a higher level of leadership and management skills
Reach your fullest potential
Deliver extraordinary value

Material Includes

  • Videos
  • Booklets

Requirements

  • You should already be somewhat familiar with fundamental business practices and be interested in learning to achieve more by working with and through other people

Target Audience

  • New managers looking to transition successfully from a production to a management role
  • Existing managers looking to get more engagement and innovation from their teams and organizations
  • Entrepreneurs who need to use "soft power" to motivate people to achieve exceptional outcomes with limited resources

Curriculum

6 Lessons22h 30m

Management Skill

Scoping Projects
Main Methods
Planning Principles
Assignments
Activities

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Your Instructors

Sumit Kumar

Data Scientist

4.95/5
20 Courses
38 Reviews
33 Students
A Data Scientist with more than five years of experience tutoring students from IITs, NITs, IISc, IIMs, and other prestigious institutions. Google Data Studio certified and IBM certified data analyst Data Science, Machine Learning Models, Graph Databases, and Data Mining techniques for Predictive Modeling and Analytics, as well as data integration, require expertise in Machine Learning and programming languages such as Python, R, and Tableau.
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Purvi Pipariya

Data Analyst

5.0/5
8 Courses
2 Reviews
2 Students
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3,999.00

Level
Intermediate
Duration 22.5 hours
Lectures
6 lectures
Subject

Material Includes

  • Videos
  • Booklets
Enrollment validity: Lifetime

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