Data Analytics Bootcamp
Become a Data Analyst in 4 Months!
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
- Become familiar with the use of Tableau for data visualization, and be able to work with data extracts and time series
- Be able to use aggregations and granularity.
- Be able to create charts and interactive dashboards to present data.
- 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
- Identify a subset of data from a column or set of columns and write an SQL query to limit to those results.
- Use SQL commands to filter, sort, and summarize data.
- Create an analysis table from multiple queries using the UNION operator.
- 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
- Become familiar with introductory regression analysis.
- 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
- Develop your personal brand and revamp your LinkedIn profile and resume.
- Learn about online and offline networking strategies and how to navigate networking events with confidence.
- Learn unconventional methods of job hunting.
- 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
Monthly Plan for atomcamp alumni & women
- Monthly Plan for atomcamp alumni & women
Frequently Asked Questions
Are the live sessions recorded for viewing later?
Are there any discounts available?
What background is needed to join this Bootcamp?
Will a certificate be awarded for completion of this Bootcamp?
How many hours per week is the required commitment for this Bootcamp?
What kind of jobs can I apply to after attending the Bootcamp?
- Business Intelligence Analyst
- Data Analyst
- Quantitative Analyst
- Data Analytics Consultant
- Operations Analyst
- Marketing Analyst