Data Science Training in Marathahalli
Data Science Training in Marathahalli, Bengalore
Data Science:
Data science it is a software here distributing and processing the large set of data into the cluster of computers. This Course is designed to Master yourself in the Data Science Techniques and Upgrade your skill set to the next level to sustain your career in ever changing the software Industry.This Course covers from the basics of Data Science to Big Data Hadoop, Python, Apache Spark etc.
SDLC Training is the best Data Science Training Institutes in Marathahalli/Bangalore, Why?
SDLC Training provides the best Data Science Training in Marathahalli, Bangalore. Trainers are the most experienced professionals. The trainer will cover the basic to advanced concepts with practical sessions of Data Science. By this, the trainees will receive up-to-date training in multiple areas in Data Science and trainees can understand the real-time projects. Data Science Training in Bangalore at SDLC is planned to give the Data Science Training to Trainees the skills & knowledge to gain a competitive advantage in starting/enhancing a career in Data Science industry.
Real-time and 100% placement oriented Data Science training:
SDLC Training Institute is offering the real-time and job oriented Data Science training. This will helpful for both experienced and fresher people in Data Science. For freshers, we are providing the mock interviews and placement assistance. Experienced people can grasp the knowledge of the Data Science.
Data Science Training Classes in Marathahalli:
SDLC Training Institute is providing the Data Science classroom training and Data Science corporate training. Data Science Training is available at flexible timings on the weekdays and weekends. We are maintaining the limited bath size. So we can concentrate on each and every student. SDLC offering the free demo classes.
Demo Class : Free Demo Session, Flexible Timings | Free Class : Attend 3 Free Classes to check training Quality |
Regular : 2 Hours per day | Fast Track : 2 – 3 Hours per day: 10 days |
Weekdays : Available | Weekend : Available |
Online Training : Available | Class Room Training : Available |
Course Fee : Talk to our Customer Support | Duration : 60 Hours |
Datascience Curriculum
Python :
Goal – Get an overview of the python which is required to work on data science
Objectives – At the end of this Module, you should be able understand the following topics
- Lists
- Tuples
- Dictionaries
- Sets
- Importing packages
- If else
- Loops
- Comprehensions
- Functions
- Map
- Filter
- Reduce
- Numpy
- Pandas
- Merging,querying,aggregating
- Assignments for practice
R :
Goal – Get an overview of the R which is required to work on data science
Objectives – At the end of this Module, you should be able understand the following topics
- Introduction
- Basic operations in R
- Vectors
- Factors
- Matrices
- Data frames
- Lists
- Logical and Relational operators
- Conditional Statements
- Loops
- Functions
- Apply Family
Introduction
- Applications of Machine Learning
- Why Machine Learning is the Future
- Installing R and R Studio (MAC & Windows)
- Installing Python and Anaconda (MAC & Windows)
————————– Part Data Preprocessing ————————–
- Welcome to Part – Data Preprocessing
- Get the dataset
- Importing the Libraries
- Importing the Dataset
- For Python learners, summary of Object-oriented programming classes & objects
- Missing Data
- Categorical Data
- Splitting the Dataset into the Training set and Test set
- Feature Scaling
- And here is our Data Preprocessing Template!
- Quiz Data Preprocessing
—————————— Part Regression ——————————
- Welcome to Part – Regression
Simple Linear Regression
- How to get the dataset
- Dataset + Business Problem Description
- Simple Linear Regression Intuition –
- Simple Linear Regression in Python –
- Simple Linear Regression in R –
- Quiz Simple Linear Regression
Multiple Linear Regression
- How to get the dataset
- Dataset + Business Problem Description
- Multiple Linear Regression Intuition –
- Multiple Linear Regression in Python –
- Multiple Linear Regression in Python – Backward Elimination – Preparation
- Multiple Linear Regression in Python – Backward Elimination – !
- Multiple Linear Regression in Python – Backward Elimination – Solution
- Multiple Linear Regression in R –
- Multiple Linear Regression in R – Backward Elimination – !
- Multiple Linear Regression in R – Backward Elimination – Solution
- Quiz Multiple Linear Regression
Polynomial Regression
- Polynomial Regression Intuition
- How to get the dataset
- Polynomial Regression in Python –
- Python Regression Template
- Polynomial Regression in R –
- R Regression Template
Support Vector Regression (SVR)
- How to get the dataset
- SVR in Python
- SVR in R
Decision Tree Regression
- Decision Tree Regression Intuition
- How to get the dataset
- Decision Tree Regression in Python
- Decision Tree Regression in R
Random Forest Regression
- Random Forest Regression Intuition
- How to get the dataset
- Random Forest Regression in Python
- Random Forest Regression in R
Evaluating Regression Models Performance
- R-Squared Intuition
- Adjusted R-Squared Intuition
- Evaluating Regression Models Performance – ‘s Final Part
- Interpreting Linear Regression Coefficients
- Conclusion of Part – Regression
—————————- Part Classification —————————-
- Welcome to Part – Classification
Logistic Regression
- Logistic Regression Intuition
- How to get the dataset
- Logistic Regression in Python –
- Python Classification Template
- Logistic Regression in R –
- R Classification Template
- Quiz Logistic Regression
K-Nearest Neighbors (K-NN)
- K-Nearest Neighbor Intuition
- How to get the dataset
- K-NN in Python
- K-NN in R
- Quiz K-Nearest Neighbor
Support Vector Machine (SVM)
- SVM Intuition
- How to get the dataset
- SVM in Python
- SVM in R
- SVMzip
Kernel SVM
- Kernel SVM Intuition
- Mapping to a higher dimension
- The Kernel Trick
- Types of Kernel Functions
- How to get the dataset
- Kernel SVM in Python
- Kernel SVM in R
Naive Bayes
- Bayes Theorem
- Naive Bayes Intuition
- Naive Bayes Intuition (Challenge Reveal)
- Naive Bayes Intuition (Extras)
- How to get the dataset
- Naive Bayes in Python
- Naive Bayes in R
Decision Tree Classification
- Decision Tree Classification Intuition
- How to get the dataset
- Decision Tree Classification in Python
- Decision Tree Classification in R
Random Forest Classification
- Random Forest Classification Intuition
- How to get the dataset
- Random Forest Classification in Python
- Random Forest Classification in R
Evaluating Classification Models Performance
- False Positives & False Negatives
- Confusion Matrix
- Accuracy Paradox
- CAP Curve
- CAP Curve Analysis
- Conclusion of Part – Classification
—————————- Part Clustering —————————-
- Welcome to Part – Clustering
K-Means Clustering
- K-Means Clustering Intuition
- K-Means Random Initialization Trap
- K-Means Selecting The Number Of Clusters
- How to get the dataset
- K-Means Clustering in Python
- K-Means Clustering in R
- Quiz K-Means Clustering
Hierarchical Clustering
- Hierarchical Clustering Intuition
- Hierarchical Clustering How Dendrograms Work
- Hierarchical Clustering Using Dendrograms
- How to get the dataset
- HC in Python –
- HC in R –
- Quiz Hierarchical Clustering
- Conclusion of Part – Clustering
———————- Part Association Rule Learning ———————-
- Welcome to Part – Association Rule Learning
Apriori
- Apriori Intuition
- How to get the dataset
- Apriori in R –
- Apriori in Python –
Eclat
- Eclat Intuition
- How to get the dataset
- Eclat in R
- Eclatzip
———————— Part Reinforcement Learning ————————
- Welcome to Part – Reinforcement Learning
Upper Confidence Bound (UCB)
- The Multi-Armed Bandit Problem
- Upper Confidence Bound (UCB) Intuition
- How to get the dataset
- Upper Confidence Bound in Python –
- Upper Confidence Bound in R –
Thompson Sampling
- Thompson Sampling Intuition
- Algorithm Comparison UCB vs Thompson Sampling
- How to get the dataset
- Thompson Sampling in Python –
- Thompson Sampling in Python –
- Thompson Sampling in R –
- Thompson Sampling in R –
——————— Part Natural Language Processing ———————
- Welcome to Part – Natural Language Processing
- How to get the dataset
- Natural Language Processing in Python –
- Challenge
- Natural Language Processing in R –
- Natural Language Processing in R –
- Challenge
—————————- Part Deep Learning —————————-
- Welcome to Part – Deep Learning
- What is Deep Learning?
Artificial Neural Networks
- Plan of attack
- The Neuron
- The Activation Function
- How do Neural Networks work?
- How do Neural Networks learn?
- Gradient Descent
- Stochastic Gradient Descent
- Backpropagation
- How to get the dataset
- Business Problem Description
- ANN in Python – – Installing Theano, Tensorflow and Keras
- ANN in R –
- ANN in R – (Last )
Convolutional Neural Networks
- Plan of attack
- What are convolutional neural networks?
- – Convolution Operation
- (b) – ReLU Layer
- – Pooling
- – Flattening
- – Full Connection
- Summary
- Softmax & Cross-Entropy
- How to get the dataset
- CNN in Python –
- CNN in R
———————– Part Dimensionality Reduction ———————–
- Welcome to Part – Dimensionality Reduction
Principal Component Analysis (PCA)
- How to get the dataset
- PCA in Python –
- PCA in R –
Linear Discriminant Analysis (LDA)
- How to get the dataset
- LDA in Python
- LDA in R
Kernel PCA
- How to get the dataset
- Kernel PCA in Python
- Kernel PCA in R
——————— Part Model Selection & Boosting ———————
- Welcome to Part – Model Selection & Boosting
Model Selection
- How to get the dataset
- k-Fold Cross Validation in Python
- k-Fold Cross Validation in R
- Grid Search in Python –
- Grid Search in R
XGBoost
- How to get the dataset
- XGBoost in Python –
- XGBoost in R
What is the batch size for Data Science?
SDLC training providing the limited batch size for Data Science, so we can provide quality teaching. If you want to get trained individually, we are also providing.
How will you people help for the Data Science Job?
SDLC training providing the 100% Data Science job assistance and mock interviews.
How will you people help in the Data Science projects?
SDLC training is providing the Data Science training with live projects and real-time practice.
How will you people provide the Data Science doubt clarification?
SDLC training providing the 24/7 interact access with faculties and after course also engagement between the faculties and students.
What are the Data Science extra services?
SDLC training providing the back up classes, soft skill training, interview skills workshop and resume preparation assistance.
How will you people help to enhance the students Data Science knowledge?
SDLC training providing the topics wise ppts, case studies, assignments and doubt solving.
Google Reviews
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Really helpful tutors and best training institute for beginners from different field, to start the career in AWS Trainning .Including theory and practical classes ,helped to develop indepth knowledge in front end and Cloud architecture.Manav sir always help us for clearing doubt any time and by giving various example and videos.I learnt many things during these period.DEMO Classes available for various domain which is also very intresting.
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The quality is good and environment is friendly. The timings are manipulative as per ones convenience that is a plus point. Faculty here is also good.Good communication between student and Faculty. I can ask whatever question I have regarding the subject I’m getting trained for at any working hour directly to the faculty.
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hai .., every one I have done dot net training from SDLC Training Marathahalli. The Ganesh n trainers are really good and helped in clearing all my doubts. They focuses more on practicals than programming which I liked very much and tell one thing for our training center improve for most of time class room not available…
I have undergone Certified Talent Acquisition Specialist program at SDLC Training. I have completely understand all the concepts of Talent Acquisition. We had 40+ assignments and were given 100+ Reference Materials besides 60+ templates. All these and the Training sessions have helped me to become an expert within one month. I strongly recommend anyone who wants to pursue HR as a career must go for this.
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I have undergone HR Business Partner program at SDLC. Raghav Sir has taught all aspects of HRBP which has helped me to understand and apply all concepts of Business HR. I have been given Case Studies and Assignments which have helped immensely to understand and apply my knowledge in the real time scenarios.
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Hi friends i am taking python coarse here with trainer Amitsaxena he is a very good trainer to me his teaching skills are very understandable he not only teaches the topic he gives the time until u get into that topic clearly and for every topic he is giving me excercises to practice to know how we are getting the topic.I got the confidence with his training.so choose your best and be confident at you Thanks to Amitsir& Thanks to SDLC
I have registered for SAP HCM course at SDLC Training Marthahalli, Bangalore. I was able to understand the concepts well. Thanks to Raghav Sir who has explained all the aspects of HCM in a clear manner. I will also be doing Project Work and strongly recommend in case you want to learn SAP HCM.
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I have undergone Certified IT Recruiter Course at SDLC. I could understand entire lifecycle of Talent Acquisition and gained practical knowledge. The sessions by Raghav sir were quite informative and insightful. He is very humble and down to earth person. His knowledge speaks louder than him. …
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i am a new in java i don’t have any idea about java but when i join in SDLC training i got a lot of idea for giving me knowledge its here,so i am happy for this SDLC training instituete center,i just wanna say for a beginner those who are interest computer programing go to SDLC trainig center its good for beginner and good for training center.
i am a new in java i don’t have any idea about java but when i join in SDLC training i got a lot of idea for giving me knowledge its here,so i am happy for this SDLC training instituete center,i just wanna say for a beginner those who are interest computer programing go to SDLC trainig center its good for beginner and good for training center.
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Excellent training center for fresher’s as well as experienced.. Trainers explaining concepts with patience and multiple time if required to understand. Trainer suman maiti is good and knowledged in java. Giving real time examples to help us in future when we are assigning in projects…
I finished core Java course in sdlc training .it’s pretty good in here and the management is well organized with time.And I had Prashant sir as my trainer he personally helped me a lot in coding and am a better programmer now. If you are new to coding and don’t know where to join I would recommend this place it’s very good place to start with Thank you
All courses list
Steps To Build A Successful Career at SDLC
Theory
Practical
Assignment
Hands-on live projects
Resume preparation
Mock interviews
Mock interviews
Attend interview
Get job
Features of SDLC
- Limit the batch size so we can provide personal attention to everyone in the session
- Real-time practice
- Live projects
- 24/7 interact access with faculties
- Experienced and passionate trainers
- After course engagement
- We give topics wise ppt, case studies, assignments and doubt solving
- 100% job assistance
- 24/7 support
- Student can attend their missed classes
- Soft skill training, interview skills workshop, resume preparation assistance
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WHO SHOULD JOIN DATA SCIENCE COURSE
People who want to make a career in Data Science or just want to upgrade your skills by learning Data Science should definitely join this course. Either you are a student or an IT professional or someone who is looking for a job, Our best Data Science Training in Bangalore will not just fit in your budget but will also convert you into a professional Data Science expert.
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