Data Science Training in BTM Layout
Besant Technologies offers Best Data Science Training in BTM Layout, Electronic City, Kalyan Nagar, Jaya Nagar & Rajaji Nagar in Bangalore. We teach students what the IT industry deems important- starting from basic to advanced concepts, that too in a real-time environment. Are you Looking for Data Science Training in BTM Layout with Certification? At Besant Technologies, we offer comprehensive & practical Data Science Course in BTM Layout. For more details call us at 9108126342 or walk into our Data Science Training Center in BTM Layout.
Best Data Science Training in BTM Layout
Besant Technologies offers Data Science training in BTM Layout. We provide Software training based on Corporate level standards that help our students to be prepared for industries. We offer best Data Science training in BTM Layout, Besant Technologies is one of the best results oriented Data Science Training Institute in BTM Layout, offers best practices, experimental knowledge in best Data Science training in BTM Layout, Bangalore. Data Science training in BTM Layout trainer 8+ years of experience in managing real-time projects. We providing a basic to advanced level of Data Science Training in BTM Layout with live projects with 100% job placement assistance with top industries.
Best Data Science Training Institute in BTM Layout
Data Science training in BTM Layout with placement assistance is the main feature which rated us five stars in the reviews by our alumni. Reviews and honest feedback is mentioned on our Reviews and Testimonials page. Besant Technologies is one of the best Data Science training centers in BTM Layout delivering out-of-box thinking professionals to the IT industry. Besant Technologies has a modern lab equipped with all latest facilities, Students will have hands-on Training through live projects.
What is Data Science?
data science area is the location where information collects, how it represents, how technology and technology become a resource. Extensive development for determining high and low-profile education contributes to the organization of costs, improving efficiency, improving market capabilities and improving the competitiveness of the enterprises.
Besant Technologies Authorised Partners
BDreamz Global Solutions Private Limited (Owner of Besant Technologies® Brand) is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center.
Trainer Profile of Data Science Training in BTM Layout
Our Data Science Trainers are
- More than 7+ Years of experience in Data Science Technologies.
- Trainers are expert level and fully up-to-date in the subjects they teach because they continue to spend time working on real-world industry applications.
- Trainers have Experienced on multiple real-time Data Science projects in their Industries.
- Are working professionals working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc…
- Trained more than 2000+ Students in a year.
- Strong Theoretical & Practical Knowledge.
- Are certified Professionals with High Grade.
- Are Well connected with Hiring HRs in multinational companies.
Placement Assistance after Data Science Training in BTM Layout
- Besant Technologies is the Legend in offering placement to the students.
- It has a dedicated placement Portal which caters to the needs of the students during placements.
- Trainers help the students in the development of their RESUME as per current industry standards.
- Besant Technologies conducts Development sessions including Mock Interviews, Presentation skills to prepare students to face challenging interview situation with ease.
- Besant Technologies has prepared its students to get placed in top IT Sectors like HCL, TCS, Infosys, Wipro, Accenture and many more.
- More than 2000+ students Placed in Last Year. Please Visit our Placed Students List on our website.
- 92% percent Placement Record
- 1000+ Interviews Organized
Syllabus of Data Science Course in BTM Layout
Module 1: Basic Statistics
- Random Variables and their Probability Distributions.
- Standardized Values.
- Standardized Random Variables.
- The Normal Distribution.
- The Distribution of the Sample Mean.
- Statistical Inference: Estimation.
- Statistical Inference: Decision Making.
- Decision Making: Hypothesis Testing.
Module 2: Linear Regression
- Relationship with Correlation
- Assumptions of Linear Regression
- Working with categorical and continuous predictors
- Interaction effects
- Case Study
Module 3: Logistic Regression
- Why Logistic Regression?
- Logistic Function description
- The logistic Model [ Log Link ]
- Multinomial Logistic Model
- Interpretation of the parametric coefficients
- Case Study
- ROC curve and Gains chart
Module 4: Decision tree and Case Study for Decision tree
- Need for Non-Parametric approach
- Why decision Tree
- Node Classification
- Where to use Decision Tree
- Case Study
Module 5: Unsupervised Classification Algorithms
- Understanding the working of Kmeans Algorithm
- Cluster Size Optimization vs Definition Optimization,
- Hierarchical and non-hierarchical
- K- medoid and Fuzzy K means
- Case study for clustering
Module 6: Time Series and Case Study for Time Series
- Definition of Time Series
- Time Series Decomposition
- Simple Moving Average Method
- Weighted Moving Average Method
- Single Exponential Smoothing Method
- Double Exponential Smoothing Method
- Triple Exponential Smoothing Method
- AR Models
- MA Models
- ARMA Models
- ARIMA Models
- sARIMA Models
- Case Study
- Using RMSE and MAPE for Model Performance
Module 7: K Nearest Neighbor’s Algorithm for Classification
- Lazy Learning techniques
- Distance Matrix
- The Optimum K value
- Data Transformations
- Model Building on Training Data Set
- Model Validation on Testing Data Set
- Evaluation of Model
- Advantages & Disadvantages of KNN Models
Module 8: Naïve Bayes Algorithm for Multi Class Prediction
- Bayesian Theorem
- Probabilities – The Prior and Posterior Probabilities
- Conditional and Joint Probabilities Notion
- Traditional Approach – Extract Important Features
- Naive Approach – Independence of Features Assumption
- Advantages & Disadvantages of Naïve Bayes Models
- Case Study
Module 9: Artificial Neural network with case study
- Understanding Neural Networks
- The mammalian mimic
- The Activation Function
- The Structure of Network
- Back Propagation, Multi-Layer Perceptron, Feed Forward
- The ANN Model
- Case Study
- Training the Model, Testing and Validation
Module 10: Support vector machines with case study
- Understanding SVM
- Concepts of Linearly separable vs non-separable data
- Hyper Parameters
- Cost and Gamma Functions
- Case study
- Tuning the Model
Module 11: Recommender Systems
- Usage of Recommender system
- Collaborative and Singular Recommender Systems
- Association Rule mining
- Cosine Similarity
- Case Study
Reviews of Data Science Training in BTM Layout
Besant Technologies Data Science Training in BTM Layout Reviews have given by our students already completed the Data Science training with us. Please give your feedback as well if you are a student.
Locations of Data Science Training in Bangalore
Besant Technologies branches in Bangalore are listed above. And most popular locations where students/professionals are lining up to get trained with us. Data Science Training in BTM Layout | Data Science Training in Jayanagar | Data Science Training in Rajaji Nagar | Data Science Training in Hebbal | Data Science Training in Malleswaram | Data Science Training in Koramangala | Data Science Training in Banashankari | Data Science Training in Ulsoor | Data Science Training in Basavanagudi | Data Science Training in HSR Layout | Data Science Training in KR Puram | Data Science Training in Hebbal | Data Science Training in HRBR Layout | Data Science Training in Electronic City