Expert in Oracle PL SQL Training Crash Course
Expert in Oracle PL SQL Training Course By Elevate Academy Team DB Management Course World Class Instructor 1:1 with Industry…
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Elevate Academy leads the way in database education with a robust MSSQL training program designed to empower learners with the skills to manage, analyze, and apply data efficiently. Our hands-on course provides in-depth knowledge of Microsoft SQL Server and its real-world uses.
This course is part of our top-rated selection trusted by leading organizations worldwide for employee training and certification.
The Core MSSQL course at Elevate Academy equips students with critical skills in Microsoft SQL Server—one of today’s most vital data platforms. From fundamentals to advanced performance tuning and data integration, our expert instructors guide learners through every step. Graduates are prepared to address complex data management needs in real-world environments.
This course helps you master MSSQL concepts such as database design, data querying, system performance, security protocols, and advanced data manipulation.
MSSQL
What is MSSQL?
What is the difference between MSSQL and MySQL?
Purpose of MSSQL
Versions of SQL
Advantages and drawbacks
Installation Setup
Database and Tables in MSSQL
What is a database?
What are tables?
Create, Alter and Drop Database
Create, Alter and Drop Table
Backup and Restore a Database
RDBMS
ER Model
Hands-on Create Database and Tables
Common Terminologies in SQL
Data Types
Constraints
Foreign Key Constraints
Unique and Check Constraint
Hands-on Data Types and Constraints
Quiz
Normalization
What is Normalization?
First Normal Form
Second Normal Form
Third Normal Form
Practically Normalizing Tables
Hands-on Normalization
Data Definition Language
What is DDL?
Purpose of DDL
CREATE Table
ALTER Table
TRUNCATE Table
RENAME
DROP
Hands on DDL
Data Manipulation Language
What is DML?
SELECT
UPDATE
DELETE
INSERT
Hands on DML
Data Control Language
What is DCL?
Purpose of DCL
REVOKE
GRANT
Hands on DCL
MSSQL Clauses
WHERE
DISTINCT
ORDER BY
GROUP BY
HAVING
FROM
Hands on MSSQL clauses
Matplotlib Visualization
Plotting with matplotlib
Bar charts
Pie charts
Scatter plots
Box plots
Histogram
Bubble Chart
Heat maps
Graph/line graph
Geographical data
Seaborn Visualization
Plotting with seaborn
Histogram with grid
Distplot
Pairplot
Scatter plots
Box plots
Lmplots
Histogram
Challenge: Visualize titanic dataset
Feature Engineering
Feature Extraction
Feature Selection
EDA
Pairplot
Scatter plots
Box plots
Lmplots
Histogram
Challenge: Visualize titanic dataset
Machine Learning
Al vs ML vs DL
Application of machine learning
How do machine learns
Types of Machine learning
Supervised Learning
Un-supervised Learning
Naive Bayes
What is Native Bayes?
Types of Naive Bayes
IRIS Classification
Data Processing
Train and create model
Performance Estimation
Analyse and create confusion matrix
Simple Linear Regression
Ordinary Least Square and Regression Errors
Data Processing
Train and Test Model
Test the model and Predict Y Values
R-Squared and its Importance
Score and Get coefficients
Calculate RMSE (Root Mean Squared Error)
Plot the predictions
Simple Linear Regression
Ordinary Least Square and Regression Errors
Data Processing
Train and Test Model
Test the model and Predict Y Values
R-Squared and its Importance
Score and Get coefficients
Calculate RMSE (Root Mean Squared Error)
Plot the predictions
Simple Linear Regression
Ordinary Least Square and Regression Errors
Data Processing
Train and Test Model
Test the model and Predict Y Values
R-Squared and its Importance
Score and Get coefficients
Calculate RMSE (Root Mean Squared Error)
Plot the predictions
Support Vector Machine
What is SVM?
SVM kernel types
Problem: IRIS Classification
Data Processing
Train and create model
Performance Estimation
Analyse and create confusion matrix
Logistic Regression
What is Logistic Regression?
Problem: Heart Disease Prediction
Build Model
Performance Estimation
Analyse and create confusion matrix
Decision Tree
What is decision tree?
Decision Tree Parameters
Problem: IRIS Classification
Data Processing
Train and create model
Evaluate Model
Random Forest
What is random forest?
Ensemble Learning
Bagging and Boosting Classifiers
Problem: Cardio Vascular Disease
lmplementation
Evaluate Model
Class
Objects
Constructors
Constructors
Encapsulation
Inheritance
Polymorphism
Super and this Keyword
Abstraction
Inheritance
Nearest Neighbor
What is KNN?
KNN parameters
Problem: Cardio Vascular Disease
Data collection and preprocessing
lmplementation
Evaluate Model
Evaluate Classification metrics
Evaluate Accuracy
Classification metrics
What is Threshold and PHAPTER Adjusting Thresholds
AUC ROC Curve
Dimension Reduction
Why to reduce dimensions and Importance of PCA?
Steps to calculate PCA
Implementation of PCA
Visualization
Regression
What is Ridge regression?
Implement Ridge Regression
Plot Ridge Regression Line
Lasso Regression or L1 Penalty
lmplement lasso Regression
Plot lasso Regression Line
Over fitting and under fitting
What is over fitting?
How to avoid over fitting?
What is under fitting?
How to avoid under fitting?
Cross Validation
What is Cross Validation?
How Cross Validation Works
Prepare for Cross Validation
Parameter and implementation of Cross Validation
Understand the results of Cross Validation)
Hands On - Analyse the Result
Hyper Tuning for model
What is Hyper parameter Tuning?
Grid Search and Randomized Search Approach
GridSearchCV Parameters Explained
Create GirdSearchCV Object
Fit data to GridSearchCV
Understand GridSearchCV Results
Implementation of hypertuning
GridSearchCV using Logistic Regression
GridSearchCV using Support Vector
Randomized Search using random forest
Select Best Model
Randomized Search
Model Selection Summary
Clustering
What is Clustering?
How the clusters are formed?
Problem Understanding: Customer Segmentation
Get, Visualize and Normalize the data
Import KMeans and Understand Parameters
Understanding KMeans++ Initialization Method
Create Clusters
Visualize and create different number of clusters
Understand Elbow Method to Decide number of Cluster
Implement Elbow Method
NLP
What is NLP
Application of NLP
Remove punctuation
Tokenize
Remove stop words
Stem words
Lemmatize
Padding
Part of Speech Tagging
Name Entity Relationship
Sentiment Analysis
Build our spam detector
Read and preprocess data
NLP techniques
Tokenization
Tokens to vectors
Naive Bayes
Logistic Regression
Sentiment Analysis
Evaluate Metrics
Recommendation System
What is Recommendation System?
How Do Recommendation Works?
Types of Recommendation
Content Based Recommendation
What is Content based recommendation?
Advantages and drawbacks
Hands on Content based recommendation code
Collaborative Filtering
What is Collaborative filtering?
Advantages and drawbacks
Kinds of collaborative filtering
Hands on collaborative filtering code
Hybrid Recommendation System
What is hybrid recommendation?
Advantages and Drawbacks
Deep Learning
What is Neuron and Artificial Neural Network?
How Artificial Neural Network works?
What is Keras and Tensorflow?
What is a Tensor in Tensorflow?
Installing Keras, backend and Tensorflow
Optimization
Keras Model Building and Steps
Layers - Overview and Parameters
Activation Functions
Layers - Softmax Activation Function
What is a Loss Function?
Cross Entropy Loss Functions
Optimization - What is it?
Optimization - Gradient Descent
Deep Neural Layers
Initializers - Vanishing and Exploding Gradient Problem
Layers - Initializers explained
Problem Understanding: Disease Prediction
Read and process the data
Define the Keras Neural Network Model
Compile the Keras Neural Network Model
Evaluate the result
Project on Application of data science Part 1
Problem understanding: Loan Approval Prediction
 Read and preprocess data
Data splitting
Classification - Naïve Bayes
Classification – Support Vector Machine
Classification - Random Forest
Classification - Logistic Regression
Train the model
Evaluate performance metrics
Project on Application of data science Part 2
Problem Understanding : Zomato Restaurant Review
Read and preprocess data
NLP
Data Splitting
Classification - Naïve Bayes (Multinomial)
Classification - Support Vector Machine
Classification - Random Forest
Classification – Decision Tree
Classification - Logistic Regression
Train the model
Evaluate performance metrics
Visualization using matplotlib and seaborn
Project on Application of data science Part 3
Problem Understanding : Product Recommendation
Read and preprocess data
Collaborative filtering
Content based filtering
Recommend the product
Evaluate metrics
Build a strong foundation in database creation, maintenance, and administration. Learn to manage vast datasets efficiently while upholding data accuracy and consistency.
Sharpen your skills in crafting advanced SQL queries. Explore joins, subqueries, and set operations to manipulate and retrieve data with precision.
Master strategies to boost database efficiency. Get hands-on with indexing, query tuning, and best practices for fast and reliable data access.
Our dedicated tech support team is available 24/7 via our ticket system to assist you with any database-related concerns.
Protect your databases using robust security methods. Learn about encryption, access control, and staying compliant with key data regulations.
Develop your ability to connect diverse data sources. Understand ETL processes and tools to streamline integration and drive smarter workflows.
June 13, 2025In today’s fast-paced digital world, the demand for skilled software professionals is higher than ever. Whether you’re a student aiming…
Expert in Oracle PL SQL Training Course By Elevate Academy Team DB Management Course World Class Instructor 1:1 with Industry…
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