atomcamp

Data Analytics Bootcamp

Become a Data Analyst in 4 Months!

  • Online
  • 4 Months
  • 16th January, 2023

About this Program

This is a 4-month Bootcamp to enable participants to learn relevant data analytics skills and launch their careers in the field. The program is meant for those who are aiming to transform their careers and become data analysts as well as those who want to incorporate data analytics training into their current jobs/careers to remain competitive. 
The defining characteristic of this program is that it goes beyond training and imparting key skills. It will also enable you to communicate effectively, think critically, and problem solve. Exclusive mentorship and career guidance will be provided to participants. 
The Graduates of the Bootcamp will not have just learnt tools and methods but will have become data analysts – competent, confident, and ready to work. We look forward to working with you over the next 4 months as we master data analytics and the ways it is revolutionizing the future of work.

Key Features

Focused Learning Path

Expert Instructors

Hands-on Experiential Learning

Help and Support from Teaching Assistants

Networking and Social Connections

LinkedIn Coaching & Resume Building

Interview Preparation

Industry Ready Portfolio

1-on-1 Coaching and Mentorship

Job Search Guidance and Support

CURRICULUM

PREPARATORY WEEK

Learning Outcomes

This is an accelerated preparatory week to ensure that essential concepts are revised. It will be fast-paced and will go over everything that is required to begin an in-depth study of Data Analytics.

Statistical Foundations

Mathematical Foundations

Microsoft Excel

Python Revision

MONTH 1

Learning Outcomes

  1.  Become familiar with the use of Tableau for data visualization, and be able to work with data extracts and time series
  2.  Be able to use aggregations and granularity.
  3. Be able to create charts and interactive dashboards to present data.
  4. Create table calculations, tree map charts, and storylines

Tableau Basics, Time Series, Aggregations, and Filters

Maps, Scatterplots, and Dashboards

Table Calculations, Calculated Fields, and Storytelling

Advanced Dashboards, Publishing Dashboards Online

MONTH 2

Learning Outcomes

  1. Identify a subset of data from a column or set of columns and write an SQL query to limit to those results.
  2. Use SQL commands to filter, sort, and summarize data.
  3. Create an analysis table from multiple queries using the UNION operator.
  4. Manipulate strings, dates, and numeric data using functions to integrate data from different sources into fields with the correct format for analysis.

Selecting and Retrieving Data with SQL

Filtering, Sorting, and Calculating Data with SQL

Subqueries and Joins in SQL

Modifying and Analyzing Data with SQL

MONTH 3

Learning Outcomes

  1. Become familiar with introductory regression analysis.
  2. Learn spatial analysis with GIS.

Machine Learning for Data Analytics

Machine Learning for Data Analytics

Introduction to GIS and Spatial Data Analysis

Data Queries and Map Making/Cartography

Career Counseling & Job Market Preparation

Combined

MONTH 4

Learning Outcomes

  1. Develop your personal brand and revamp your LinkedIn profile and resume.
  2. Learn about online and offline networking strategies and how to navigate networking events with confidence.
  3. Learn unconventional methods of job hunting.
  4. Learn effective interview strategies and how to answer behavioral as well as domain related questions.

LinkedIn and Resumes

Networking and Mock Networking Event

Job Hunting

Interview Workshops and Mock Interviews

Career services that will get you hired

1-on-1 consultative sessions with instructors and mentors.

Regular speaker series with industry professionals and hiring managers.

Community building with a network of data analytics professionals

LinkedIn coaching and resume building.

Strategies for unconventional methods of job hunting.

Interview workshops and mock interviews.

Trainers

Meet our experienced data analytics instructors. Our curriculum is created and taught by Data Analytics Experts with years of real-world industry experience.

Minahil Raza’s work is focused on data analytics and energy and she has worked with organizations such as Asian Development Bank, the World Bank, London School of Economics, CERP and International Growth Centre.

Yahya Bajwa is an experienced professional with a demonstrated history of working in the management consulting industry. He holds a Master of Public Policy (MPP) degree and a Graduate Certificate in Data Science from the Gerald R. Ford School of Public Policy, University of Michigan.

Eligibility

To enroll in the Data Analytics Bootcamp, you must meet the following criteria: 

Have basic data literacy and be aware of data types and the data life cycle

Demonstrate familiarity with fundamental and descriptive statistics

Have an understanding of probability and linear algebra

Be able to carry out data cleaning and analysis on Microsoft Excel, and work with Pivot Tables

Have an intermediate level proficiency in Python

Admission Process

Call for Applications

24th November, 2022

Shortlisting of Candidates

31st December, 2022

Interviews

5th-6th January, 2023

Tests

8th-11th January, 2023

Finalization of cohort

14th January, 2023

Commencement of Bootcamp

16th January, 2023

Pricing Plans

Standard Monthly Plan

PKR 20,000 per month
  • Standard Monthly Program

Monthly Plan for atomcamp alumni & women

PKR 15,000 per month
  • Monthly Plan for atomcamp alumni & women

Lumpsum Payment (Advance Payment)

PKR 50,000
  • For 4 Months

Frequently Asked Questions

Are the live sessions recorded for viewing later?

Yes, all sessions are recorded and will be available for the participants to view at a later date.

Are there any discounts available?

Yes, if you are from a disadvantaged background, have taken a course with atomcamp previously, or are a woman, you may be eligible for a 25% scholarship/financial aid. Please contact team@atomcamp.com for further details relevant to your profile.

What background is needed to join this Bootcamp?

If you want to join this Data Analytics Bootcamp, please refer to the eligibility requirements given above before applying. If you need further support in making a decision with regards to joining the Bootcamp, please reach out to team@atomcamp.com or zumerzia10@gmail.com to set up a meeting.

Will a certificate be awarded for completion of this Bootcamp?

Yes, you will be awarded a certificate if you have 80% attendance and have completed all assignments and projects to the satisfaction of the instructors.

How many hours per week is the required commitment for this Bootcamp?

The total class hours are 6 per week. Aside from that, you will be assigned 6 hours’ worth of homework. Only commit to the Bootcamp if you are willing to put in this much effort.

What kind of jobs can I apply to after attending the Bootcamp?

Based on your skillsets, here are some job roles that you can target. Further information will be provided during our classes and speaker series.
    Business Intelligence Analyst
  • Data Analyst
  • Quantitative Analyst
  • Data Analytics Consultant
  • Operations Analyst
  • Marketing Analyst