Data Analyst Bootcamp Training in Singapore, Singapore

Learn Data Analytics Acquire In-Demand Skills & Get Hired as a Data Analyst

Land lucrative offers with an average salary of $ 60,000 per year

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Data Analyst Bootcamp Gets an AI Upgrade

KnowledgeHut is excited to announce the evolution of our Data Analyst Bootcamp into the all-new Data Analyst Bootcamp with AI. This revamped program ensures you stay ahead of the curve by incorporating the power of AI into your data analysis skillset. Whether you're looking to build solid tech skills and land a job as a skilled Data Analyst or dreaming of launching a data-driven business or becoming a freelance data whiz, the KnowledgeHut Data Analyst Bootcamp with AI is your perfect launchpad.

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Bootcamp Highlights

  • 115 Hours of Instructor-Led Sessions

  • 171 Hours of Self-Paced On-Demand Learning

  • 10 Capstone Projects for a Job-Worthy Portfolio

  • Immersive Learning with 110+ Hands-On Exercises

  • 10 Real-World Case Studies

  • Program Designed to Start Your Career as a Data Analyst

  • Complementary AI Engineer Bootcamp

Latest Data Analytics Tools and Technologies You Will Master

  • Python
  • Tableau
  • SQL
  • Git
  • GitHub-New

Meet the Rising Demand for Skilled Data Analysts

benefits of Data Analyst Bootcamp

Decision makers across industries depend on insights pulled from actual data to drive important strategic and tactical decisions. There are currently close to 400,000 Data Analyst jobs in the US on LinkedIn and this number is estimated to grow at a rate of 25% as per the U.S. Bureau of Labor Statistics. A career in Data Analytics is a future-proof career.

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Build the skills to become an outstanding Data Analyst

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The KnowledgeHut Advantage

The most effective project-based immersive learning experience

Immersive Learning

immersive-learning
  • On-demand videos
  • Guided hands-on exercises
  • Auto-graded assessments and recall quizzes
  • Assignments and projects

Learn by Doing

learn-by-doing
  • Learn to code. By actually coding.
  • Get project-ready with work-like experiences.
  • Learn on the job, like devs in tech companies.

Cloud Labs

cloud-labs
  • Access fully provisioned dev environment.
  • Virtual machine spinned up in minutes.
  • Write code right in your browser.

Outcome-Focused

outcome-driven-learning
  • Get advanced learner insights.
  • Measure and track skills progress.
  • Identify areas to improve in.

Blended Learning

blended-learning
  • On-demand, self-paced learning anytime.
  • Code review sessions by experts.
  • Access to discussion forums, community groups.

Pool of Stellar Course Creators and Instructors

Our industry-validated curriculum is designed with inputs from our Software Engineering Advisory Board comprised of industry veterans and renowned experts. The program is delivered by top instructors with several years of experience under their belt.

David Haertzen

Big Data Analytics Leader

Denis Rothman

AI Author, Speaker, and Instructor

Jeffrey Aven

Principal Consultant

Gopikrishnan R

Co-Founder and CTO

Beau - Carnes

Director of Technology, Education

Jignesh Kariya

Sr. Database Consultant

Peter Henstock

Machine Learning & AI Lead

Ashish Gulati

Python & Data Science Consultant

Shobhit Nigam

Program Director

Phillip Kinn

Senior Data Scientist

Emmanuel Segui

Asst. Director, Reporting and Programming

Rahul Tiwari

Data Scientist and Co-Founder

Mark Strefford

Machine Learning Lead

George Mount

Founder

Dr. Vishwakarma J.S.

Enterprise Architect, CTO

Jeremiah Lobo

Data Visualization Lead

Enes Bilgin

Staff Machine Learning Engineer

Harish Masand

Project Manager - Digital Enablement (Data and AI)

Mo Medwani

Sr. Data Scientist

Marie Stephen Leo

Director of Data Science - APAC

Anatoly Zelenin

Freelance Trainer, Author

Bradford Tuckfield

Data Science Instructor and Consultant

Malvik Vaghadia

Principal Consultant - Data and Analytics

Rashmi Banthia

Data Scientist

Avery Smith

Data Scientist

Prince Kumar

Data Scientist

Sudhanshu Saxena

Sr. Data Scientist and Data Science Trainer

Azib Hasan

Freelance Trainer

prerequisites for Data Analyst Bootcamp

Prerequisites

  • There are no prerequisites for attending this Bootcamp.
  • Prior knowledge of Mathematics, Statistics, and Python will be beneficial but is not mandatory. 
  • The right aptitude, logical thinking, and drive for curiosity are all you need. Leave the rest to us!

Who Should Attend Data Analyst Bootcamp

IT Professionals

Digital Marketers

Product Managers

Sales representatives

Supply chain network managers

Freshers looking for a practical skill set to boost their resumes

Students in UG/PG courses

Developers interested in Data Analytics

Impress Recruiters With a Stellar Project Portfolio

Our job-focused immersive learning bootcamps are designed to give you real-world experiences through capstone projects. You’ll learn how to build projects from scratch, deploy them on Cloud, and by the end of the bootcamp, be ready to be an ace performer from day one in your job.

  • NFTlyze
    NFTlyze Data Analytics

    Collect and store data from NFT marketplaces and perform real-time data analysis on the same to forecast upcoming trends.

  • Boxify
    Boxify Inventory Management

    Track your inventory, view existing sales orders, create new orders, and generate real-time inventory reports on the go.

  • nutrical
    Nutrical Nutrition

    Get the calorie count information and nutrition facts for all the menu items available at McDonald's outlets.

  • Lifesave
    LifeSave Suicide Prevention

    Get working suicide helpline numbers in India in case anyone is feeling suicidal. Identify suicide clusters based on past trends.  

  • Detroll
    CheckMyFlight Travel

    Analyze flight prices all over India, identify patterns (if any), and forecast future flight patterns using Tableau

What You Will Learn

Maths and Stats Foundation

Understand the fundamental concepts of Mathematics and Statistics related to Data Analytics  

Master Excel for Data Analytics

Learn how to use pivot tables and perform different types of data analysis using Excel worksheets 

SQL for Data Analytics

Understand the concepts of Databases and SQL, and how to run basic SQL queries and analysis  

Essentials of Python for Data Analysis

Understand the basics of Python programming with functions and libraries such as Pandas and NumPy

Data Analysis using Python

Leverage Python programming and functions to do exploratory data analysis and visualization    

Data Visualization using Tableau

Use Tableau to perform complex calculations to understand data and create attractive dashboards   

Skills You Will Gain

Using Inferential Statistics

Identifying interesting trends

Building dashboards using Tableau

Transforming datasets using Pandas

Building visualizations with Seaborn

Using SQL queries for data extraction

Working with data from streaming APIs

Finding answers for research questions

Designing basic statistical experiments

Performing Descriptive Statistics on the data

Implementing parallel computing techniques on datasets

Using plotly and bokeh packages to build interactive plots

Using Data Analysis tools like Excel, SQL, Python, and Tableau

Data Analyst Bootcamp Curriculum

Download Curriculum
Video preview 1.

Learning Objective: 

  • Data Analysis using Excel
  • Learn about Excel Basics and Formulas
  • Perform Statistical Analysis using Excel
  • Learn to use Pivot Tables
  • Data Cleaning and Preparing   
  • PivotTable and Grouping for Data Analysis
  • Scenario and Sensitivity Analysis
  • Lookup Functions and Merging Techniques
  • Charts and Visualization Techniques  
  • Data Analysis ToolPak for Statistics

Learning Objective: 

  • Learn all about source code management using Git
  • Embrace the power of version control and management using Git and GitHub
  • Effectively manage your code like professionals
  • Introduction to Version Control with Git
  • Git from the Command Line
  • Everyday Git Commands
  • Git for collaboration
Video preview 3.

Learning Objective:

  • Master Descriptive Statistics and Probability Theory
  • Learn different probability distributions such as Normal, Binomial, Poisson and many more
  • Learn Inferential Statistics to draw better inferences from the data
  • Probability
  • Statistics
  • Linear Algebra
  • Calculus
Video preview 4.

Learning Objective: 

  • Understanding essential SQL database Commands
  • Filtering data and operators in SQL
  • Aggregation and Summary functions
  • Combining tables
  • Advanced Data Analysis using SQL
  • What is SQL and Why is it Important?
  • SQL Database Admin Commands 
  • The Basics of SQL
  • Filtering Data Using WHERE Clause in SQL 
  • Aggregation and Summary Functions in SQL 
  • Miscellaneous Analysis in SQL 
  • Table to Table Relationship in SQL 
  • Combining Tables  
  • Advanced SQL Data Analysis 
  • Making Efficient Analysis
Video preview 5.

Learning Objective: 

  • Starts with the basics of Python programming
  • Learn how to use the existing functions and also to create the user defined functions
  • Working on different Python packages such as Pandas and NumPy
  • Visualizations using Python
  • Introduction to Python 
  • Code and Data
  • Building Blocks
  • Strings
  • Data Structures
  • Flow Control
  • Functions
  • Modules
  • Files
  • NumPy
  • Pandas
  • Regular Expression
  • Visualization

Learning Objective: 

  • Efficient use of Pandas and NumPy for Data Analysis
  • Learn to perform the analysis on Structured and Unstructured data
  • Learn to work with APIs in Python
  • Learn how Parallel computing works
  • Visualisations using Seaborn, Plotly and Bokeh packages
  • Exploratory Data Analysis in Python 
  • Confirmatory Data Analysis in Python 
  • Intermediate pandas 
  • Unstructured Data in Python 
  • Working with APIs in Python 
  • Parallel Computing with Dask 
  • Intermediate Seaborn 
  • Interactive Visualizations with Plotly and Bokeh 

Learning Objective: 

  • Start with introduction to visualizations and Tableau
  • Participants will learn how to connect to different data sources
  • Learn how to do Slicing and Dicing data
  • Learn Basic and Advanced calculations in Tableau
  • Dashboard designing, Publishing and Sharing
  • Basics of Excel and formulas in Excel
  • Introduction to Data Visualization and Tableau
  • Understanding Tableau Building Blocks
  • Managing Data connections
  • Prepare Data for use 
  • Basic Data Visualization
  • Advanced Data Visualization
  • Slicing and Dicing Data
  • Tableau Basic Calculations
  • Tableau Advanced Calculations
  • Formatting
  • Dashboard Designing
  • Publishing and Sharing

Data Analyst Training FAQs

Bootcamp FAQs

There are no prerequisites for attending this Bootcamp. Prior knowledge of Mathematics, Statistics, and Python will be beneficial but is not mandatory. 

The right aptitude, logical thinking, and drive for curiosity are all you need. Leave the rest to us!

The minimum recommended system requirement is to have a workstation or laptop with at least 8GB of RAM and an internet connection. 

This Bootcamp is conducted in a blended learning mode, which includes Instructor-Led training and modules of self-paced learning. Apart from this, there will be assignments, assessments, quizzes, and projects to supplement the learning and build a job-worthy portfolio.  Once you complete your learning, there will also be a special module to get you interview ready with mock interviews, portfolio reviews, and more! 

Absolutely! This data analyst course has been created to take you from zero data analytics skills to expert level. You will be coached on the fundamentals of programming, mathematics, and statistics and go on to learn intermediate and advanced level tools and technologies to work with large datasets. You can take up this course even if you are not from a tech background. 

You will be given login credentials for PRISM - our state-of-the-art learning experience platform, to attend the instructor-led classes and complete all course requirements.

All our classes start with a quick recap of the previous session. You will also be able to access class recordings from PRISM. It is recommended to attend all the sessions for training and mentoring.  

Workshop Experience

Currently, the Data Analyst Bootcamp is offered online as instructor-led sessions as well as self-paced on-demand learning.

Our Data Analyst Bootcamps online are led by instructors who are experts in the domain of Data, with vast industry experience, and a passion to teach. You will learn fundamental concepts, practical aspects, and best practices in Data Analytics in the Bootcamp.

Our Data Analyst Bootcamp is delivered through a blended learning model that includes expert-led training of 115 hours, led by experienced instructors. 

Yes, you can switch your start date for the course with prior notice of at least 24 hours and subject to availability in the desired batch. 

What Learners Are Saying

Reviews

K
Ken Liu Salesforce Administrator
5
From MS Excel to Tableau, this data analyst bootcamp covers all the technologies a data analyst needs to know in a structured manner. From guided exercises to capstone projects, you grasp all these skills in the best way.

Attended Data Analyst Bootcamp workshop in December

L
Lewis Brown Database Administrator
5
I've always been interested in a career in Data Analytics but never knew how to get started. I'm glad I gave this course a try. The wonderful instructors, learning material and projects are just too good.

Attended Data Analyst Bootcamp workshop in December

S
Samuel Kinison Digital Marketing Manager
5
This course helped me become an expert Data Analyst by helping me master important technologies. These were Python, SQL, Git/GitHub, and Tableau. You need skills in these as a data analyst and I developed mine thanks to KH.

Attended Data Analyst Bootcamp workshop in December

N
Noah Weber Product Manager
5
I don't have a coding or data background. What made me comfortable with this course is the Math and Stats foundation module they started with. It made me confident and paved the way for a seamless learning experience.

Attended Data Analyst Bootcamp workshop in December

A
Atish Kumar Web Developer
5
Good program with the best set of instructors I've ever seen in my life. They are very knowledgeable and pair learning with real-life incidents from their experience. Really helped me understand concepts better.

Attended Data Analyst Bootcamp workshop in December