Technical Business Development
This 5-month course is designed for individuals interested in pursuing business development careers in the field of technology. Students will learn the fundamentals of tech business development and how to apply them in the real world.
Enrollment
Pre-register yourself for the next cohort
Program Duration
5-7 months
Learning Format
Online
What You Will Learn
- Introduction to tech business development
- Market research and analysis for tech companies
- Sales and marketing strategies for tech startups
- Fundraising and investment strategies for tech businesses
- Negotiation skills and techniques in tech business development
Course Syllabus
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 1
Introduction to Business Development in Tech
- Understanding the tech industry and its ecosystem
- Defining the role of a business development professional in tech
- Developing a business development plan for a tech startup
Module 2
Market Research and Analysis for Tech Companies
- Conducting market research for tech products/services
- Analyzing market trends and competition
- Identifying potential customers and partnerships in the tech industry
Module 3
Sales and Marketing Strategies for Tech Startups
- Developing a sales and marketing plan for tech startups
- Leveraging digital marketing tools and social media for tech businesses
- Building and managing relationships with clients and partners in tech
Module 4
Fundraising and Investment Strategies for Tech Businesses
- Understanding the fundraising landscape in tech
- Developing a fundraising strategy for tech businesses
- Evaluating potential investors and investment opportunities in tech
Module 5
Negotiation Skills and Techniques in Tech Business Development
- Understanding the art of negotiation in tech business development
- Developing negotiation skills and techniques for tech professionals
- Applying negotiation strategies in real-world scenarios
Module 6
Building and Managing High-Performing Tech Teams
- Understanding the importance of team building in tech
- Recruiting and hiring top talent in tech
- Managing and motivating high-performing tech teams
Module 7
Final Project and Presentations
- Applying the skills and knowledge acquired throughout the course to a final project
- Presenting the final project to the class and receiving feedback from instructors and peers.
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
- Week 9
Clean Data, Assignment Prep
Module 8
- Week 10
Cleaning Data with SQL, Verify and Report Cleaning Results
Module 9
- Week 11
Adding Data to Resume + Course Challenge
Module 10
- Week 12
Organizing Data to Begin Analysis, Formatting and Adjusting Data
Module 11
- Week 13
Aggregating Data for Analysis, Performing Data Calculations
Module 12
- Week 14
Visualizing Data, Creating Data Visualizations with Tableau
Module 13
- Week 15
Crafting Data Stories, Developing Presentations and Slideshows
Module 14
- Week 16
Programming and Data Analytics, Programming using R Studio
Module 15
- Week 17
Working with Data in R, More About Visualizations, Aesthetics and Annotations
Module 16
- Week 18
Documentation and Reports, Learn About Capstone Basics
Module 17
- Week 19
Building Your Portfolio + Using Your Portfolioo
Module 18
- Weeks 20 & 21
Putting Your Certificate to Work
Module 19
- Weeks 22 & 23
Introduction to Probability and Data with R
Module 20
- Weeks 24 & 25
Inferential Statistics
Module 21
- Weeks 26 & 27
Linear Regression and Modelling
Module 22
- Weeks 28 & 29
Bayesian Statistics
Module 23
- Weeks 30
Statistics with R Capstone (Final Project)
Module 24
- Weeks 31
Job - Interview Mocking and Training
Module 7
- Week 9
Clean Data, Assignment Prep
Module 8
- Week 10
Cleaning Data with SQL, Verify and Report Cleaning Results
Module 9
- Week 11
Adding Data to Resume + Course Challenge
Module 10
- Week 12
Organizing Data to Begin Analysis, Formatting and Adjusting Data
Module 11
- Week 13
Aggregating Data for Analysis, Performing Data Calculations
Module 12
- Week 14
Visualizing Data, Creating Data Visualizations with Tableau
Module 13
- Week 15
Crafting Data Stories, Developing Presentations and Slideshows
Module 14
- Week 16
Programming and Data Analytics, Programming using R Studio
Module 15
- Week 17
Working with Data in R, More About Visualizations, Aesthetics and Annotations
Module 16
- Week 18
Documentation and Reports, Learn About Capstone Basics
Module 17
- Week 19
Building Your Portfolio + Using Your Portfolioo
Module 18
- Weeks 20 & 21
Putting Your Certificate to Work
Module 19
- Weeks 22 & 23
Introduction to Probability and Data with R
Module 20
- Weeks 24 & 25
Inferential Statistics
Module 21
- Weeks 26 & 27
Linear Regression and Modelling
Module 22
- Weeks 28 & 29
Bayesian Statistics
Module 23
- Weeks 30
Statistics with R Capstone (Final Project)
Module 24
- Weeks 31
Job - Interview Mocking and Training
Module 7
- Week 9
Clean Data, Assignment Prep
Module 8
- Week 10
Cleaning Data with SQL, Verify and Report Cleaning Results
Module 9
- Week 11
Adding Data to Resume + Course Challenge
Module 10
- Week 12
Organizing Data to Begin Analysis, Formatting and Adjusting Data
Module 11
- Week 13
Aggregating Data for Analysis, Performing Data Calculations
Module 12
- Week 14
Visualizing Data, Creating Data Visualizations with Tableau
Module 13
- Week 15
Crafting Data Stories, Developing Presentations and Slideshows
Module 14
- Week 16
Programming and Data Analytics, Programming using R Studio
Module 15
- Week 17
Working with Data in R, More About Visualizations, Aesthetics and Annotations
Module 16
- Week 18
Documentation and Reports, Learn About Capstone Basics
Module 17
- Week 19
Building Your Portfolio + Using Your Portfolioo
Module 18
- Weeks 20 & 21
Putting Your Certificate to Work
Module 19
- Weeks 22 & 23
Introduction to Probability and Data with R
Module 20
- Weeks 24 & 25
Inferential Statistics
Module 21
- Weeks 26 & 27
Linear Regression and Modelling
Module 22
- Weeks 28 & 29
Bayesian Statistics
Module 23
- Weeks 30
Statistics with R Capstone (Final Project)
Module 24
- Weeks 31
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.
