Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process Course

INTRODUCTION

Data science is a growing requirement for most institutions and companies to aid, improve or sustain their progression and projects. Therefore, employers are critical to hire the best professions in data science positions. This course aims to sharpen any profession and prepare them for their careers in data science, making them the best and competitive in the job market.

This course focuses on giving those who take it a better understanding of the job markets, what is required of them in data science careers and what employers will look for to give them a front foot in the market. it will also provide an insight on techniques on how to get a job in data science, prepare for an interview and how to pass in any interview.

Duration

5 days

WHO SHOULD ATTEND

This course targets people who are in the market for data science jobs or people who want to change careers to data science careers

COURSE LEVEL:

Register for the course


Face to Face Schedules By Location
Nairobi Schedules:
Code Date Duration Location Fees
CDR015 6 Feb 2023 - 10 Feb 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
CDR015 6 Mar 2023 - 10 Mar 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
CDR015 3 Apr 2023 - 7 Apr 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
CDR015 1 May 2023 - 5 May 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
CDR015 5 Jun 2023 - 9 Jun 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
CDR015 3 Jul 2023 - 7 Jul 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
CDR015 4 Sep 2023 - 8 Sep 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
CDR015 7 Aug 2023 - 11 Aug 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
CDR015 2 Oct 2023 - 6 Oct 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
CDR015 6 Nov 2023 - 10 Nov 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
CDR015 4 Dec 2023 - 8 Dec 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
Kigali Schedules:
Mombasa Schedules:
Nakuru Schedules:
Kisumu Schedules:
Naivasha Schedules:
Virtual Trainer Led Schedules
Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for a virtual schedule.
Code Date Duration Period Fees
E-Learning

Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for E-Learning course.


COURSE OBJECTIVES

At the end of this course, participants should be well informed about data science careers, job markets and job seeking techniques. Additionally, they will be prepared to undertake any data science jobs’ interviews and careers smoothly.


MODULES

Module I

  • Course Overview
  • The Data Science Knowledge You Need
  • Types of Data Science Roles
  • The Interview Process Structure
  • What Interviewers Look For
  • How to Get the Most

Module 2

  • Portfolio Overview
  • What Is a Data Science Project
  • The Projects You Should Do
  • How to Differentiate Your Projects
  • Where to Showcase Your Projects
  • Github Profile Best Practices
  • Kaggle Profile

Module 3

  • Resume Overview
  • How to Structure Your Resume
  • How to Write about Work and Projects
  • Customize your Resume
  • Your Virtual Resume
  • Resume Checklist
  • The Cover Letter

Module 4

  • Interviewing Overview
  • How Candidates are Selected
  • Networking for Data Scientists
  • Leveraging Your Resources
  • Informational Interview
  • Reaching out to Recruiters

Module 5

  • The Phone Interview Overview
  • What to Expect
  • How to Prepare
  • How to Succeed

Module 6

  • The Types of Take-Home Tests
  • Dealing with Data Sets
  • Coding Quizzes
  • Written Test

Module 7

  • What to Expect
  • Ace the Behavioral Interview
  • Technical Interviewing
  • Following Up
  • The Briefcase Method

Module 8

  • Anna Interview
  • Elevator Pitch Outline and Examples
  • Jaemin Interview
  • Jay Interview
  • Jefferson Interview
  • Sheng Interview
  • Glassdoor Findings
  • LinkedIn Bonus Content

Module 9

  • Resume and Cover Letter Templates and Checklist
  • Reach Out Templates
  • Interview Questions

Course Administration Details:

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected]/[email protected]

Mob: +254 715 077 817/+250789621067

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817/+250789621067

Mob: +254 792516000+254 792516010 , +250 789621067 ,or mail [email protected]/[email protected]

PAYMENT

Payment should be transferred to IRES account through bank on or before start of the course.

Send proof of payment to [email protected]/[email protected]


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