Data Science with Excel
Data Science with Excel focuses on analyzing and interpreting data using spreadsheet tools and data analysis techniques. Microsoft Excel is one of the most widely used tools for data analysis, reporting, and visualization in business and analytics environments.
In this course, you will learn how to organize, clean, analyze, and visualize data using Excel. The program helps you understand how to transform raw data into meaningful insights that support business decisions.
- Certificate in Data Science with Excel courses with GenAI integrated curriculum
- Learn Python, Machine Learning, AI, Tableau, and designed for industry needs
Data Science Course
Data Science with Python
Gain proficiency in Python for various applications, from web development to automation
16 Weeks
Data Science with Machine Learning
Learn how to use programming, statistics, and machine learning algorithms to analyze data and build predictive models
16 Weeks
Data Science with AI
Learn how to combine data analysis, machine learning, and artificial intelligence techniques to solve real-world problems
16 Weeks
Data Science with NLP
Learn how to work with text data and build intelligent systems that can understand human language
16 Weeks
Data Science with Tensorflow
TensorFlow makes it easier for developers to build machine learning models that run on web, mobile, cloud, and desktop platforms.
16 Weeks
Data Science with SQL
Learn how to work with databases, write queries to extract data, and perform data analysis using SQL
16 Weeks
Data Science with power bi
Learn how to analyze data, create visual reports, and build professional dashboards using Microsoft Power BI
16 Weeks
Data Science with Excel
Learn how to use Microsoft Excel to manage data efficiently, apply formulas and functions, analyze datasets
16 Weeks
Our Courses are Accredited
Best-in-class content by leading faculty and industry leaders in the form of cases and projects, assignments and live sessions
Start Learning For Free
Begin your journey with our free courses, a perfect starting point before the full data science programs.
Learn Basic Python Programming
Solve coding questions based on Lists, Strings and other data structures like tuples, sets and dictionary to improve your problem solving abilities with Python
5 Hours
Introduction to Tableau
Learn how you can transform data into actionable insights by conducting data analysis and visualise it using various chart types in Tableau
8 Hours
Introduction to Natural Language Processing
Uncover the basics of NLP and other topics like RegEx for building tools for Spam Detection, Phonetic Hashing and Spell Correction in this introductory course
11 Hours
Overview
Zappcode Academy’s Data Science Course is designed for beginners and professionals who want to build a strong career in data science. The course provides comprehensive training in Python, SQL, machine learning, and data visualization using real-world projects. No prior coding experience is required to start your data science journey.
Our curriculum follows a practical, hands-on approach where students learn to analyze, interpret, and visualize data to make data-driven decisions. With tools like Tableau, Power BI, and Scikit-learn, learners gain experience in solving real business problems using data science techniques commonly used in top tech companies.
The course is taught by experienced data scientists who bring industry knowledge and mentoring to the classroom. Students receive lifetime access to learning materials, personalized career guidance, and placement support. Zappcode Academy ensures every student graduates with the confidence to apply data science skills in the real world.
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What You’ll Learn in Our Data Science Course
By the end of this course, you will:
1
Understand the fundamentals of Data Science and Machine Learning
2
Clean, analyze, and visualize large datasets using Python and Pandas
3
Work with real-time data and build predictive models
4
Use SQL to query structured data from relational databases
5
Build dashboards and reports using Tableau and Power BI
6
Implement Machine Learning algorithms using Scikit-learn
7
Understand Data Preprocessing, Feature Engineering, and Model Evaluation
8
Get hands-on experience with real-world capstone projects
Our course structure emphasizes practical application so you’ll graduate with a portfolio of real projects.
Tools & Technologies Covered
At Zappcode Academy, we train you on the most in-demand tools used by data scientists worldwide:
Programming
- Python
- R (optional)
Libraries
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
Visualization Tools
- Tableau
- Power BI
Databases
- MySQL
- SQLite
Version Control
- Git & GitHub
Cloud & Deployment (Intro)
- Google Colab
- Streamlit
All tools are taught from scratch. No technical background? No worries – we cover it all.
Instructor Profile – Learn from Seasoned Industry Experts
Rashmi M. Joshi
Co-Founder & Lead Technical Trainer, Zappcode Academy
Rashmi M. Joshi, co-founder of Zappcode Academy, is an experienced IT educator with 9+ years in the tech industry. She specializes in hands-on training and project-based learning, combining real-world experience with education. Rashmi has led numerous projects in ERP, web/mobile apps, SaaS, and business automation, and is known for her strong mentorship in career planning and interview preparation.
Frequently Asked Questions (FAQs)
The course duration is 6 months, including weekend and weekday batches.
No, our course is beginner-friendly. We start from the basics of Python and gradually build up to advanced topics.
Yes, you will receive a Data Science Course Completion Certificate from Zappkode Academy, plus a project/internship certificate.
Yes, we provide placement support, resume building, and mock interviews to help you crack your first data science job.
Our Data Science Course is affordably priced, with flexible installment options. Contact us to get the latest fee details.
