Advantages of Data Science Course
35,000
Average Salary per Annum in UK
3,00,000
Job Vacancies across the world
hiring partners
We are globally connected with the top IT companies
We are connected with companies with different industries across the nation. Our dedicated placement cell is
constantly striving to get more companies on-board
About Data Science Training & Certification
Pre-Requisites
Basic Python (Intermediate Level)- Git
- Basic Linux
Mathematics for Data Science
- Statistics – Descriptive & Inferential Stats
- Probability – Basic & Conditional Probability, Bays Theorem
- Algebra Mathematics – Linear & Polynomial Equations
- Matrices & Vectors – properties, operations, use cases
- Calculus
Data Collection Tools & Techniques
- Web Scrapping
- Logging
- DBMS Queries
- Data Using APIs
Data Engineering or Data Preprocessing
- Data Formats & Structures (csv, tsv, excel sheet etc.)
- Assessing Data for Quality Cheque
- Data Wrangling Techniques
- Discovering
- Structuring
- Cleaning
- Enriching
- Validating
- Publishing
- Data Transformations
- One Hot Encoding
- Label Encoding
- Normalization of Data
Data Analysis or Getting Insights from Data
- Process of Question Building
- Answering Common Questions related to data
- Application of Stats to find useful information out of data
- Data Modeling
- Hypothesis Testing
- Predictive Analysis
- Text Analysis
Data Visualization
- Aesthetics of Plots
- Creating Charts, Plots and Maps
- Bar Chart, Box Plot, Histograms, Line Plot
- Scatter Plot, Violin plots, Word Cloud, Maps etc.
- Exploratory Data Analysis
- Understanding Trends, Outliers, and Pattern in Data
- Creating Live Plots
Machine learning
- History, Scope and Future of Machine Learning
- Supervise Machine Learning Techniques
- Regression Algorithms
- SLR, Multiple Linear Regression, Multivariant Linear Regression
- Polynomial Regression
- Lasso & Ridge Regression
- Gradient Descent
- Classification Algorithms
- Logistic Regression
- Decision Trees Classifiers
- Random Forest Classifiers
- Naïve Bays Classifiers
- K-Nearest Neighbors (KNN)
- Support Vector Machines (SVM)
- Regression Algorithms
- Unsupervised Machine learning Techniques
- Clustering
- K-means Clustering Algorithm
- DBSCAN Clustering Algorithm
- Dimensionality Reduction
- Linear Discriminant Analysis
- Principle Component Analysis
- Clustering
- Text Processing
- Bag of Words, TF, IDF
- Sentiment Analysis
- Word Clouds
- Evaluation Matrices
- Mean Square, Mean Absolute, RSS and TSS errors
- R2 Score for Regression Accuracy
- ROC and AUC Curves for Performance Measuring
- Classification Report & Confusion Matrix
- Precision & Recall Matrix
- Accuracy Score for Classification Accuracy
- Optimization Techniques
- Hyper Parameter Tuning
- Grid Search
- Cross Validation
- Early Stopping
- Introduction to Deep Learning
- Neural Networks
Pyspark
- Big Data
- Distributed computing
- Distributed Storage
- Data Analysis on Bigdata using Pyspark
- Machine Learning on Bigdata using Pyspark
Case Studies
- Various Case Studies Related to Data Science & Machine Learning
Capstone Project
- For Each Section and Algorithm, we will Create a Capstone Project which will show case your Detailed Knowledge
Python Modules Used in This Course
- Exploratory Data Analysis
- numpy, scipy, pandas, matplolib, seaborn, plotly, folium
- Data Scrapping
- Beautiful soup, Requests
- Machine Learning
- Sklearn, tensorflow, keras
Induction For Data Science
End to End Training on
Live Project after finishing module
Trainers Profile
Amit Mehta
More than 16+ year experience in Software Engineering with solid foundation. He also contribute as visitor lecturer in University. Providing Corporate Training to Organisation as well.
Oracle Java Certified + AWS DevOps professionals with M.Sc in Software Engineering from NIELIT in India.
Working as Lead Application Developer in Corporate sector.
Take a career boost & get your knowledge in shape with Programming