An Industry-aligned Data Science & Analytics with AI course with 100% Job Guarantee !!


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Data Science & Analytics with AI Curriculum

Industry Oriented Curriculum

An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company.


Case Studies & Projects


Languages & Tools


Live Sessions

Probability distributions:
continuous and discrete,
uniform, normal, exponential,
Poisson | Hypothesis testing:
null and alternative
hypotheses, type | and type II
errors, p-values, confidence
intervals| Confidence Interval,
Descriptive and Inferential
Statistics, Central Limit
Theorem |

  • Simple Linear Regression,
    Multiple Linear Regression |
    Ordinary Least Squares,
    Residuals, Homoscedasticity,
    Heteroscedasticity, Outliers,
  • Database Management System
  • SQL Syntax
  • Data Manipulation Language
  • Data Query Language
  • Built in functions in SQL
  • Sub-Query & Joins
  • 5 V's of Big Data
  • Need of Big Data Analytics
  • Type of Big Data Analytics
  • Problem with Big Data Analytics
  • Hadoop Ecosystem
  • Hadoop Architecture
  • HDFS Master Slave Architecture
  • MapReduce
  • Data Analysis with Pig & Hive
  • Architecture of Pig
  • Components of Pig
  • Commands of Pig
  • Architecture of Hive
  • Data Model of Hive
  • Hive Commands
  • Numpy
  • Pandas
  • Exploratory Data Analysis
  • Matplotlib
  • Seaborn
  • Key Benefits of Power BI
  • Components of Power BI
  • Architecture of Power BI
  • Clean and Transform your data using PowerQuery
  • DAX Syntax
  • Calculation Types
  • DAX Functions
  • Charts in Power BI
  • Shapes, Text Boxes and Images
  • Power BI Q&A
  • Tableau Shelf & Card
  • Connecting & Preparing Data
  • Data Extracts vs Live Connections
  • Organizing & Simplify Data
  • Field Chart
  • Understanding when to build what chart
  • Data Analytics
  • Tableau Dashboard
  • Performance improvement of Dashboard
  • Variables & Data Types
  • Operators
  • Control Structure
  • Looping Controls
  • Functions
  • Object Oriented Programming
  • File Handling
  • Exception Handling
  • Regular Expression & Web Scraping
  • EDA & Preprocessing
  • Regression
  • Regularization
  • K-Nearest Neighbors
  • Logistic Regression
  • Support Vector Machine
  • Decision Tree
  • Bagging & Boosting
  • Random Forest
  • K-Means Clustering
  • Hierarchical Clustering
  • Principle Component Analysis
  • Association Rule
  • Perceptron
  • Forward & Backward Propagation
  • Gradient Descent
  • Activation Functions
  • Dropout
  • Application of NLP
  • Components of NLP
  • Stages of NLP
  • Text Preprocessing
  • Stopwords
  • Bag of Word
  • Stemming & Lemmatization
  • Part of Speech Tagging
  • Name Entity Recognition
  • Vectorization
  • Text Classification using ML
  • Text Classification using ANN
  • Sentiment Analysis
  • Sequence Model
  • Recurrent Neural Network
  • Bi-directional & Multi-directional RNN
  • Architecture of RNN
  • Vanishing Gradient Problem in RNN
  • Long Short Term Memory
  • Bi-directional & Multi-directional LSTM
  • Gated Recurrent Unit
  • Bi-directional & Multi-directional GRU
  • Transformers Based Models
  • Attention Mechanism
  • Face Hugging Transformers
  • RASA Configuration
  • Intent Entity Response Story
  • Action module
  • Tools & Technology used in Computer Vision
  • Reading & Writing an Image
  • Capture Videos from Camera
  • Convolution Layer
  • Pooling
  • Flatten & Fully Connected Layer
  • Image Classification using CNN
  • Object Detection with OpenCV
  • Template Matching
  • Edge Detection
  • Face Detection
  • Object Tracking
  • Text Recognition
  • YOLO
  • Sequential Data & Time Series
  • Function Relationship
  • Mathematical Representation of Time Series
  • ETS Decomposition
  • ACF & PACF
  • AutoRegression Model
  • Moving Average Model
  • ARIMA Model
  • SariMax of Seasonal Data
  • Sequential Models
  • Forecasting using LSTM

Industry Projects

Learn through real-life industry projects sponsored by top companies across industries

Key Highlights

Job or Refund Program

80% Practical Training

2 Global Certifications

Weekday Weekend Batches

Personalized Career Coach

Instant Doubt Solving

No Cost EMI option

Study App/Material

30+ Case studies & Projects

Profile Building Session

Industry-focused curriculum designed by industry experts to help students in understanding real-world case studies with a practical approach.

Programming Languages & Tools Covered


Master Certification in Data Science with AI

The Master Certification program of Data Science & Analytics with AI prepares you for the heavyweight title – Data Scientist. Not just that along with the master certification of Data Science & Analytics with AI you shall be given 15-course module completion certificates at every check-point clearance if you are effective in meeting the Assessment Standards. And yes did we say you can easily clear the Microsoft Certification Exam with our guidance? Look next.

You are just few steps closer to your Dream IT Job

Step 1

Career Advice

A dedicated career expert to put a light on which course to select basis your area of interest & qualification

Step 2


Once you are enrolled a dedicated relationship manager is provided for course completion support.

Step 3

Sign up

Signup on Our E-learning Platform to stay up to date with lectures and project material

Step 4


We have 30+ industry oriented projects & case studies which are shared amongst student to make them industry ready

Step 5


Total 150+ mocks are been planned for each student to prepare them self for technical interviews

Step 6


After course completion within 6 months our placement team starts sending interviews to students for their placement.

A word of appreciation from students…

Ethical Hacking Training Benefits

Like what you hear from our learners?

100+ organisations TRUST US WITH THEIR Openings

5 Star

Ratings on Google

70 %

Salary Hike

97 %

Alumni career transitions

100 %

Placement Rates

Frequently Asked Questions ? (FAQ)

Individuals with a bachelor’s degree or higher are eligible to enrol in our Data Science & Analytics with AI .

The duration of the course is 03 Months.But the duration of the course solely depends on the number of modules you choose to learn.

You needn’t worry about missing a session, our dedicated Relationship manager, would help you with anything related to administration. The Relationship manager will arrange a session with trainers in place of the missed one.


Yes, you can avail of No Cost EMI (No Interest) at Encrypticsecurity, for which you are supposed to pay the 1st EMI of the fees as the first down payment and the remaining fees in 12 Months installments

A fresher in Data Science & Analytics with AI would draw a salary in the range of 3-15LPA at Encrypticsecurity.



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