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An NEP & NSQF Aligned Curriculum
Introduction to Data Science
Learn the fundamentals of data extraction using Microsoft Excel and SQL by enrolling in our Introduction to Data Science course. Learn to manipulate, analyze, and visualize data, turning it into actionable insights. This course offers useful tools and real-world applications, making it ideal for novices or those looking to improve their data skills. Come begin your path toward making decisions based on facts with us!
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Total Duration :
30 Hours
Curated by Maxine Guerra & Joe Smith
Curated by
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Rocky Jagtiani & Ambarish Tarte
Corporate Trainer, Microsoft Business Partner
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Credit Points
University of mumbai credits
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Blended Learning
Dive into the self paced videos & Live sessions With Industry Expert
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Life Time Access
A learning investment forever.
Hunar's Pathway To Success!
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Introduction to Data Science Program Highlights
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Learn in-demand Skills from Industry Expert
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Live Doubt solving session
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Mentorship
Mentorship for students
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Solve Quizzes & Assignment
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Exclusive Job Portal
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Industry based case study
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Student support
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Packages at ₹35k/month
Get the best offers
Best-in-class content for Introduction to Data Science course
Introduction to Data Science - Career Path
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Companies seeking applicants for Data Scientist
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Introduction to Data Science Certification
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Share your certificate and gain visibility
Gain a competitive edge and earn a valuable certification by enrolling in the “Introduction to Data Science” course. Demonstrate your skills, and show off your Excel and SQL data analysis talents. Make an impression on recruiters to land your first data science job.
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The learning path to Introduction to Data Science
Module 1
Data with SQL
Introduction to SQL
Data Definition Language
Data Manipulation Language
Data Query Language / Working with SQL
Advanced SQL Search
Joins
Sub Queries
Module 2
Introduction to Excel
Introduction to Excel
Data Manipulation and Arithmetic Functions
Logical and Reference Functions
Pivot Table
Module 3
Data Analysis with Excel
Data Visualization
Analyzing Data
Collaborating with Other Users
Automating Tasks with Macros
What You’ll Learn
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- Master SQL basics: data, databases, querying & manipulating data (insert, update, delete). Ensure clean data through normalization.
- Craft powerful SQL queries using filters, sorting & functions (string, math, date). Master joins to connect data & subqueries for complex analysis.
- Conquer Excel! Explore the interface & manage data with features like sorting, filtering & grouping. Build formulas using functions (math, logical, reference) to analyze data. Create insightful PivotTables & charts for data visualization.
- Uncover data trends with sparklines & trendlines. Perform what-if analysis (Scenario Manager, Goal Seek) to forecast future outcomes. Collaborate & share data securely. Automate tasks with macros to save time.
- Apply your skills! Tackle a real-world HR case study using data analysis & attendance tracking. Showcase your learnings with a case study assessment.
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Know Your Instructor
Eligiblity, learnings and the opportunities
- Undergraduate, Graduate, Post-Graduate, seeking to make a career in Datab Science
- Hands on experience in SQL Python
- Programming Excel and Advanced Excel
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Dashboard creation with PowerBI
- Exploratory data analysis with Numpy, Pandas
- Extract Transform
- Load with Pandas
- Applied Data Scientist
- ML Engineer
- SQL Developer
- Power BI Developer
- Data Science Associate
Learners Support
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Fill up the following details
Students Testimonials
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FAQs
Introduction to Data Science is a course designed to teach foundational skills in data analysis using Excel and SQL.
You will learn essential techniques for data manipulation, analysis, and visualization using Excel and SQL, empowering you to make data-driven decisions.
- Excel will be used for data manipulation and visualization, while SQL will be used for querying and extracting data from databases
- Absolutely! The skills you learn in the Introduction to Data Science course are directly applicable to real-world data analysis tasks across various industries
No, you don’t need a powerful system to learn Introduction to Data Science. Basic hardware specifications are sufficient to run Excel and SQL applications, making it accessible for learners with standard computer setups.