Hyderabad is sprawling with startups & corporates. Implying the heightened demand for data analysts in today’s growing need for data-driven decisions. This is where the best data analytics course in Hyderabad comes into picture.
Offered by Code&Debug, this course will help you stand out in interviews and land your dream job. Yes, amidst the competitive job market in Hyderabad.
In this blog, we’ll guide you through the best data analytics certification course in Hyderabad. Designed to help you not only master the fundamentals but also build a strong portfolio. While learning to tackle real-world problems and confidently facing any interview challenge.
So let’s explore it’s benefits, learning outcomes, curriculum & more.
- Benefits of Data Analytics Certification
- Best Data Analytics Training Institutes in Hyderabad: Code & Debug
- Best Data Analytics Certification Course in Hyderabad: Learning Outcomes
- Best Data Analytics Course in Hyderabad: Course Curriculum
- What Our Students Say?
- Why Code & Debug for DA Training in Hyderabad?
- FAQs
Benefits of Data Analytics Certification
Enhanced Job Opportunities & Industry Recognition | Access to Cutting-Edge Tools with a Structured Learning Path | Improved Salary Prospects |
Practical Skill Development | Increased Confidence & Networking Opportunities | Career Growth & Advancement |
Best Data Analytics Training Institutes in Hyderabad: Code & Debug
Offering the best data analytics certification in Hyderabad, Code & Debug has developed a comprehensive course. Designed for beginners, intermediate as well as experienced learners.
It helps you get hands-on experience on fundamentals with Python, data visualisation, statistics, SQL, MongoDb, Tableau, PowerBI & Excel. Along with time series, forecasting & machine learning.
Become a data analyst in just 4 months & get ready to crack coding interviews with ease.
Also read about the Best Data Science Course in Hyderabad.
Best Data Analytics Certification Course in Hyderabad: Learning Outcomes
Master DA Concepts | Master Data Visualisation & Statistics |
Industry-aligned Curriculum | Hands-on Learning on Real-World Problems |
Learn Machine Learning & Forecasting | Learn Relational & Non-Relational Databases |
Industry-leading Expert Instructors | Interview Preparation |
Efficient Problem Solving | Project-based Learning with Real-World Applications |
Explore about the Best Python Course in Hyderabad.
Best Data Analytics Course in Hyderabad: Course Curriculum
At Code & Debug, our syllabus is designed to take you from foundational concepts to advanced problem-solving techniques.
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 DA.
Here’s what you’ll be learning in the journey of becoming a data analyst:
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?
DA course with Code and Debug is an excellent experience. The mentor’s unique & efficient teaching style makes complex topics easy to grasp. Starting from scratch, he takes us to the next level. Thanks to his guidance, I can now confidently solve data analytics problems.
Mehul Pandey
One of the best DA courses in Hyderabad! The teaching style made complex topics easy to understand. Solved many questions on my own just by listening to your lectures.
Mohammed Ghouse Shaik
Why Code & Debug for DA Training in Hyderabad?
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.