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16 Videos (3h 5m)
    • Introduction

      5:28
    • Small vs Large Companies

      18:18
    • Types of Organizations

      18:22
    • Career Stages

      13:44
    • Career Paths

      19:44
    • Education and Development

      10:20
    • Managing your day

      11:04
    • Managing your performance

      11:10
    • Manage your supervisor

      19:21
    • Manage your relationships

      9:00
    • Changing Paths

      8:06
    • Asking for an increase

      12:27
    • Working towards Promotions

      10:20
    • Changing jobs

      8:42
    • Taking care of things

      7:46
    • Closing remarks

      1:14

About This Class

As a fresh software professional, you are wondering about how you can chart your career to achieve your life ambitions. You are wondering about the various career options you have, their advantages and short comings and their suitability for you. You want to know about working towards pay rises and promotions. You are thinking about timing of career changes and how to execute them. If you are in that situation, this course is perfect for you.

This course provides in one place all the guidance you need to plan and achieve your career goals. It walks you through the industry work places and their advantages and shortcomings. It provides guidance on planning your work day, managing your manager and working as a team. It walks your through the process of preparing for pay increases and promotions. It helps to decide on career moves and changes.

You should take this course if you are a software professional looking for career guidance. This course is useful for all software professionals.

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Kumaran Ponnambalam

Dedicated to Data Science Education

V2 Maestros is dedicated to teaching data science at affordable costs to the world. Our instructors have real world experience practicing data science and delivering business results. Data Science is a hot and happening field in the IT industry. Unfortunately, the resources available for learning this skill are hard to find and expensive. We hope to ease this problem by providing quality education at affordable rates, there by building data science talent across the world.