Technical Project Management

Learn the fundamentals of project management with an emphasis on the technical aspects of managing software development projects.

technical-project-management

Enrollment

Pre-register yourself for the next cohort

Program Duration

5-7 months

Learning Format

Online

What You Will Learn

  • Understand the key principles of project management and how to apply them to software development projects.
  • Gain proficiency in software project planning, scheduling, tracking, and reporting.
  • Learn how to manage project risks, issues, and changes.
  • Explore best practices in Agile software development methodologies.
  • Develop the skills necessary to lead and motivate project teams.



Course Syllabus

Program Offerings

Practical Skills

You will learn practical skills in emerging careers that make you more valuable and appealing to employers

Projects

You will acquire the knowledge to create portfolio-worthy projects showcasing your skills

Mentorship

Experts working in the industry will mentor you in becoming successful professionals with leadership skills

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

Job - Interview Mocking and Training

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

Job - Interview Mocking and Training

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

Job - Interview Mocking and Training



Frequently Asked Questions

The monthly fee for the courses is Rs 2000 and the registration fee is Rs 500 (it is non-refundable)
Yes, you will receive an international certificate after completing the course.
The eligibility criteria for the courses are age 22-35, unemployed, graduate, available for a full-time job after completion, basic English comprehension, preferably tech background, and computer skills.