Data Analytics Bootcamp x Microsoft

Offered bySpringboard

Data Analytics Bootcamp x Microsoft
at
Springboard
Overview

Gain a comprehensive understanding of data science, develop practical skills and be well-prepared for careers in the field

Duration	6 months
Start from	5 days to go
Total fee	₹7.58 Lakh
Mode of learning	Online
Difficulty level	Beginner
Official Website	Go to Website
Credential	Certificate

Data Analytics Bootcamp x Microsoft
at
Springboard
Highlights

Earn a certificate after completion of course
Get 1-on-1 mentorship
Capstone projects for real world exposure

Data Analytics Bootcamp x Microsoft
at
Springboard
Course details

Skills you will learn

Data Science

Who should do this course?

Aspiring Data Scientists

Professionals Looking to Upskill

Entrepreneurs and Business Owners

Tech Enthusiasts

Data Enthusiasts

What are the course deliverables?

Statistical analysis

Machine learning

Data visualization

Tools and Software

Jupyter Notebooks

Software Setup Instructions

Access to Cloud Platforms

More about this course

Embark on an immersive journey into the world of data science with our intensive Data Science Bootcamp.

This bootcamp is designed to provide you with a deep understanding of data science principles and hands-on experience with the tools and techniques used by professionals in the field.

A data science bootcamp is an intensive training program that provides students with the skills and knowledge they need to become data scientists.

Data Analytics Bootcamp x Microsoft
at
Springboard
Curriculum

Structured Foundations

Learn structured thinking through case studies and problem statement worksheets

Work through problem-solving frameworks and processes, such as the HDEIP Framework, 7-Step Problem Solving Framework, and others

Break down problems to find a solution using Issue trees, hypothesis trees, and value-driver trees

Microsoft Excel for Business Analytics

Use logical operands and advanced Excel formulas and functions

Use pivot tables for well-structured data

Apply statistical functions

Create basic visualizations using tools like bar charts, waterfall charts, and column charts

Data Visualization Tools

Develop an advanced ability to use visualization tools such as Tableau

Optional learning for Microsoft Power BI

Learn to prepare data, such as reshaping and removing bad data

Learn the basics of Data Analysis Expressions (DAX)

Work on a case study using the visualization tools you’ve learned

NEW! AI learning units

Explore different types of machine learning

Gain an understanding of the ethics of AI with a focus on fairness, transparency, and privacy

Data Analysis in Python

Learn basic Python syntax

Learn to use Git, GitHub, and Juptyer Notebooks to share your code and projects

Learn to import and wrangle data

Work through practical exercises in Python with actual data to gain extra insights

Capstone projects

Capstone 1: Executed in three phases throughout the curriculum, you’ll conduct an end-to-end analysis. Find a data set, structure relevant and valuable problems, analyze, create visualizations, and present your findings and recommendations.

Capstone 2: A more in-depth and technical capstone that enhances your learning of the five steps of the HDEIP framework. You’ll find your dataset, create a problem statement and issue tree, analyze and visualize your data, create visualizations with Tableau or PowerBI, and present your findings. You’ll also extract data from a relational database using SQL and clean data using Python.