Learning data analytics has become increasingly crucial in 2025. Especially with the wave of data generated every single second. One of the most in-demand skills of today.
Data analytics enables informed decision-making. By extracting valuable insights from data, driving efficiency & innovation.
In this blog, we’ll explore the best data analytics course in Noida with Code & Debug. Along with it’s benefits, learning outcomes, curriculum & more. Enabling you to clear technical assessments & interviews.
Best Data Analytics Course in Noida: Code & Debug
Providing the best data analytics certification in Noida, Code & Debug has developed a comprehensive course. Designed for the growing hub in Noida, it’s perfect for beginner, intermediate as well as experienced developers.
Get hands-on experience on data analytics fundamentals, loops, data types & functions. Along with exceptions, file handling and OOPS concepts in just 4 months.
Crack coding interviews with ease & acquire the necessary skills required for high-paying tech jobs.
Explore about the best DS training course in Noida.
Best Data Analytics Certification in Noida: Learning Outcomes
| Master Python Programming | Master Algorithmic Techniques |
| Industry-aligned Curriculum | Hands-on Learning |
| Industry-leading Expert Instructors | Interview Preparation |
| Efficient Problem Solving | Project-based Learning with Real-World Applications |
Best Data Analytics Training Institutes in Noida: Course Curriculum
At Code & Debug, we believe in delivering a well-rounded, thorough learning experience. One that doesn’t just hover upon topics but covers every crucial aspect of learning Python.
Our syllabus is designed to take you from foundational concepts to advanced problem-solving techniques. Here’s what you’ll be learning:
Week 1 & 2
Python
- Variables, Numbers, Strings
- Lists, Dictionaries, Sets, Tuples
- If condition, for loop
- Functions, Lambda Functions
- Modules (pip install)
- Read, Write files
- Exception handling
- Classes, Objects
Week 3
Numpy, Pandas, Data Visualization
- Tech Skills
- Numpy
- Pandas, Matplotlib, Seaborn
- Core/Soft Skills
Week 4, 5, 6 & 7
Statistics and Math for Data Science
- Basics: Descriptive vs inferential statistics, continuous vs discrete data, nominal vs ordinal data
- Basic plots: Histograms, pie charts, bar charts, scatter plot etc.
- Measures of central tendency: mean, median, mode
- Measures of dispersion: variance, standard deviation
- Probability basics
- Distributions: Normal distribution
- Correlation and covariance
- Central limit theorem
- Hypothesis testing: p value, confidence interval, type 1 vs type 2 error, Z test, t test, ANOVA
Week 8
Exploratory Data Analysis (EDA)
- [ https://www.kaggle.com/code?searchQuery=exploratory+data+analysis ]
- Use the above link to search for exploratory data analysis notebooks.
Week 9 & 10
SQL
- Basics of relational databases
- Basic Queries: SELECT, WHERE LIKE, DISTINCT, BETWEEN, GROUP BY, ORDER BY
- Advanced Queries: CTE, Subqueries, Window Functions
- Joins: Left, Right, Inner, Full
- No need to learn database creation, indexes, triggers etc. as those things are rarely used by data scientists.
Week 11, 12, 13 & 14
MongoDB and Tableau
- MongoDB:
- MongoDB ecosystem
- MongoDB structures
- MongoDB shell vs MongoDB server
- Data Formats in MongoDB
- Working with MongoDB compass
- Working on Scheme Designing
- Tableau:
- Dashboard and Stories
- Visual Analytics
- Custom geocoding
- Polygons Maps
- VMS and Background image
Machine Learning
- Preprocessing:
- Handling NA values, outlier treatment, data normalization
- One hot encoding, label encoding
- Feature engineering
- Train test split
- Cross validation
- Model Building:
- Types of ML: Supervised, Unsupervised
- Supervised: Regression vs Classification
- Linear models
- Linear regression, logistic regression
- Gradient descent
- Nonlinear models (tree-based models)
- Decision tree
- Random forest
- XGBoost
- Model evaluation
- Regression: Mean Squared Error, Mean Absolute Error, MAPE
- Classification: Accuracy, Precision-Recall, F1 Score, ROC Curve,
- Confusion matrix
- Hyperparameter tunning: GridSearchCV, RandomSearchCV
- Unsupervised: K means, Hierarchical clustering, Dimensionality reduction (PCA)
Week 15, 16, 17, 18 & 19
PowerBI | Big Data and Spark Analytics
- PowerBI:
- Overiew of the workflow in PowerBi desktop
- Introducing the different views of data Mode
- Working with Time Series
- Scatterplots and Bi Reports
- Connecting Dataset with Power BI
- Big Data and Spark Analytics:
- Introduction to Hadoop and Big Data
- What is Spark
- Getting to know PySpark Hands-on: Map, reduce
- Polygons Maps
- VMS and Background image
Week 20, 21 & 22
Excel
- Getting started with Excel
- Using Excel toolbars: Hiding, Displaying and Moving
- Toolbars Switching Between Sheets in a Workbook
- Entering Data Values and using AutoComplete
- Inserting and Deleting Cells, Rows and Columns
- Working with the form Menu
- Creating and Working with Charts
- Changing a Chart Type and Working with Pie Charts
- Data Analysis and Pivot Tables
Week 22, 23, 24 & 25
Time Series and Forecasting
- Introduction to Time Series Forecasting
- Introduction to ARIMA Modes, Case Study on Time Serie
What Our Students Say?
You have made learning Data Analytics, the least complex for beginners like me. Loved your way of teaching & explaining.
Parv Singhai
The material was well-articulated & thanks to your clear explanations, my understanding of the basics has improved. Appreciate your constant availability & support throughout the course!
Siddesh dagwal
The teaching style made complex topics easy to understand. Solved many coding questions on my own just by listening to your lectures.
Mohammed Ghouse Shaik
One of the best teacher of DA, from basic to advanced. A great learning experience indeed.
Mangesh yadav
Commendable learning journey & the mentor’s efficient teaching style made complex topics easy to grasp. Thanks to his guidance, I can now confidently solve complex problems on LeetCode. 10/10 highly recommended.
Mehul pandey
Also explore about the best Python course in Noida.
Why Code & Debug for DA Training in Noida?
| Live Interactive Training | Everyday Doubt Sessions |
| Weekly Tests | Daily Assignments |
| FAANG-Level Questions | Resume Building |
| LinkedIn and X Building | Career Support |
FAQs
I have no prior programming experience. Can I still register for classes?
Certainly! The classes are beginner-friendly and tailored to guide you from scratch. So, there is no need to know anything about coding beforehand.
Is it a live class or a pre-recorded course?
It’s a live class, allowing real-time interaction with instructors and solutions to leetcode questions for logic buildup.
What if I miss a live session? Can I catch up?
Yes, recordings will be available for missed sessions. All the recordings of LIVE classes will be available.
Is there a refund available?
Yes, a refund is possible within 14 days of the class starting date. No questions asked.
Do I need any prerequisites before starting the classes?
No prerequisites needed. The class will start from the basics and will go till advance.
