Full Stack Data Science
Full Stack Data Science
Program In Telugu
Transform your career with our comprehensive data science course. Learn the latest techniques in data analysis, machine learning, and statistical modeling. Our practical approach provides hands-on experience with real-world projects. Start your journey today and become a skilled data scientist in demand across all industries.
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Course Details
September 25, 2023
Start Date
3 Months Live
Course Duration
Online
Mode Of Teaching
Telugu
Teaching Language
07:00 PM to 09:00 PM
Batch Timings
Mon - Saturday
Weekday Sessions
Course Syllabus
Master the Skills Employers Demand with Our Comprehensive Data Science Course Syllabus
- Data
- Data Engineering
- Data Science
- Data Analytics
- Python
- TensorFlow - Keras
- PyTorch Models
- Hadoop/Spark – SparkSQL, PySpark, Hive.
- Interpretation vs Compilation
- Python Installation
- Virtual Environment
- JVM and Byte Code
- Python VM
- Jupyter Notebook
- Variables,
- Data Types
- Constants
- String functions
- Print Function
- List Functions
- Scratch List Operations
- Tuple Functions
- Difference between List & Set
- Set Functions
- Dictionary functions
- JSON vs Dictionary
- For Loop
- For Each Loop
- While Loop
- If
- If - Elif-Else
- Nested If-Elif-Else
- input() function
- Type Casting
- pass
- del
- break
- continue
- Function definition
- Function Parameters
- Default Arguments
- Assignment - 1
- Positional Arguments
- Keyword Arguments
- Variable Arguments
- Lambda
- map
- filter
- reduce
- Decorators
- Generators
- Inbuilt packages
- PIP Package manager
- Installing new packages
- User defined packages
- Opening files
- Reading files
- Writing files
- Appending files
- Closing files
- try block
- exception block
- final block
- else block
- user defined exceptions
- General Scenario in OOPs
- Class & Object
- Encapsulation & Abstraction
- Inheritance
- Polymorphism
- Assignment - 2
- Importance of NumPy
- NumPy Arrays
- 1D, 2D, 3D, ND arrays
- Vectorization
- Stacking Arrays
- Linear Algebra
- Assignment - 3
- Importance of OpenCV
- Image Processing functions
- Assignment - 4
- Importance of Pandas
- DataFrame
- Series
- Loading Dataset
- Summarization
- Data Filtering
- Assignment - 6
- Database Management System
- Constraints
- NOT NULL
- UNIQUE
- PRIMARY KEY
- DEFAULT
- CHECK
- FOREIGN KEY
- Exercise Queries
- Assignment - 7
- Repository
- Local Repository
- Centralized Repository
- Branches
- Git Commandline
- Descriptive Statistics
- Visualization using Python
- Matplotlib/Seaborn
- Summarizing Data
- Distributions of Data
- Inferential Statistics
- Regression Analysis
- Mathematical Expression for Regression Analysis
- Hypothesis Space
- Random Variable
- Discrete Distribution
- Continuous Distribution
- Supervised Machine Learning
- Unsupervised Machine Learning
- Clustering
- Semi Supervised Machine Learning
- Reinforcement Learning
- Linear Regression
- Logistic Regression
- K-NN methods
- Decision Trees
- Support Vector Machines
- Motivating Example
- Perceptron/Neuron
- Logistic Regression as NN
- Computational Graph and Back Propagation
- Single Layer NN
- Multi Layer NN
- Deep NN
- Train/Dev/Test
- Bias & Variance
- Hyper Parameters
- Regularization
- Dropout & Inverted Dropout
- Normalization
- Vanishing & Exploding Gradients
- Weight Initialization
- Optimization
- Batching Dataset
- Mini Batch Gradient Descent
- Exponential Weighted Averages
- Gradient Descent with momentum
- RMS Prop
- Adam
- Learning Rate Decay
- Finetuning Hyper Parameters
- Batch Normalization & Covariate Shift
- Softmax and Loss function
- Callbacks
- Model Evaluation
- Motivating Example
- Convolution Operation
- Convolution Operations Exercise
- Pooling
- State Of Art CNN architectures
- ResNets
- Inception Nets/ Google Nets
- Mobile Nets
- Efficient Nets
- Transfer Learning
- Object Detection
- Motivating Example
- Sliding Window
- YOLO
- RCNN
- Fast RCNN
- Faster RCNN
- Segmentation
- Transposed Convolution
- U-NET
- Motivating Example
- Applications
- Base Sequence/ RNN model
- Types of RNN Models
- Natural Language Processing
Real Time Projects
Library Management System
Logistic & Linear Regression
Image Classification
Object Detection
Text Vectorization
Performance Metrics
We Cover
What Our Students Say About Us
Data Science Course Success Stories: Hear from Our Satisfied Students and Their Career Growth
Prasana Kumar
B.Tech Mech,
Sri Indu Institute of Engineering and Technology
"Hello everyone, I am Prasana kumar. I am from the first batch, I want to share my experience. This course was pretty challenging yet it was fun to take the class simultaneously to apply the knowledge gained by the lecture. It is a top-quality course. Keep going, we need this type of course to improve our studies. The instructor was very willing to answer questions from individuals, which is very helpful. Overall, very interesting and useful"
Sharmasbee
B.Tech ECE,
Siddhartha Institute of Technology
"I am sharmasbee from first batch Data science, I want to share my experience hope it will help you to take correct decision CodinGrad is such a good platform to the people who starts even as a beginner the classes are quite interactive, daily they are giving tasks and taking the mock interviews also which helps to improve our coding skills and confidence, this is the best platform to learn Data Science easily and quickly, Thank you CodinGrad team"
Sri Vaishnavi
BSc CS,
Employee at Wipro
"Hi, This is Vaishnavi. Firstly Your teaching is amazing. Initially, I was scared about the language whether it will work out for me to learn or not but now I was free from that fear and I learned much more from this course. The explanation is very clear with real-time examples and Interactive sessions, Really your teaching was excellent. I will definitely recommend it to my friends and colleagues. Simply your teaching was precious. Loads Of thanks to you sir for helping me to grow. Your teaching is truly amazing. Thank you so much"
Thirumal Kumar
B.Tech Civil,
Employee at Accenture
"Trainer is very friendly the way he teaches is fab. He is very patient and makes everyone get engaged with his classes and focuses on each and every student until they respond to him. He tells us from point to point which is not taught in any coaching centers. It would be very glad to take classes from him and at last, they even prepare for everything what we would require and supportive to us. Thank you bro lots of love"
Indana Seetharam
B.Tech Mechanical
"He is a very thoughtful teacher who puts a lot of thought into how he presents the material. His lessons were engaging, useful, and he was very patient with everyone in class always encouraging the students to try. I would highly recommend these classes to everyone who is interested in learning offered courses from Codingrad."
Krupakar Yadav
B.Tech ECE,
Employee at MSys
“The teaching was too good as it was taught in the mother tongue. we can understand easily, trainers interact very well if we have any doubts. I’m happy with the CodinGrad's data science classes”
Armur Avinash
B.Tech EEE,
Mahaveer Institute of Science and Technology
"This is one of the top platform to learn our dream course. They teach us with ease to explore numerous knowledge from us. They clear one on one clarifications and make us ready to create great things. I am glad to find these and learn from you. Overall I am happy to learn from you. You teach very well."
P Rajesh
B.Tech EEE,
Narayana Engineering College
“I will start with language, they teach us in pure Telugu language, which it is easy to understand, and the teaching the way was very good, they explain the terms and functions in real-time examples, and I am the guarantee you can get the knowledge bigger than you think for that cost. Finally, you are seeing for the cheap and best coding course, definitely this is the best platform for that. and I am very thankful to CodinGrad.”
Navya Gantla
B.Tech CSE
“Explains very clearly. Easy methods of understanding in classes. Worth of learning this course from codingrad. I suggest codingrad to everyone for it or non it people”
Obbani Venkata Hari Chandra Prasad
B.Tech CSE,
Narayana Engineering College
“Hi, first off all I have to thank full to trainer. Because I have seen so many videos and mock interviews of previous students then I have seen this data science course and in this course, the teaching was excellent for understanding the topics and the tasks are very helpful thank you sir..”
Galipelli Saketh
B.Tech Civil