From Beginner to PRO – Join the Best Job-Focused Data Science Training Institute in Farrukhabad with Industry-Relevant Skills & 100% Placement Support

  • Best job-focused Data Science course in Farrukhabad with real-world projects, beginner to advanced training, certification and dedicated placement support. Master in-demand skills on the latest tools and technologies through hands-on projects and expert mentorship—all at reasonable fees. Book your free demo today and take the first step toward a successful tech career. Enroll Today.

  • About Our Data Science & Adv. A.I. Certification Course -

    Learn from basics of Python to advanced A.I. and Analytics modules with projects to become a Data Science Professional in short duration.

  • Quick Placement Support -

    End-to-end placement support during training (criteria-based) or automatically after completion, with continuous expert guidance and simple placement guidelines to help you get best job opportunities and placement faster. Check company list below.

  • Job Opportunities -

    Data Science Engineer, Machine Learning Engineer, Data Analyst etc.

  • Pre-requisites -

    None. Any one from IT & non IT can learn.

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  • Related Course - Adv. Data Science & Analytics JP Program

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Syllabus

Data Science & Anaytics Course
  • Oracle Installation
  • Basics
    • Oracle Basics
    • Database models
    • ER Model Overview
    • Data types
    • Understanding Test Database
    • Basics Queries
    • Arithmetic and String functions
    • DML Operations - Insert, Update and Delete
    • FETCH command - Top N, Top % Rows
  • DDL
    • Tables - Create, Alter, Drop
    • Indexes - Types, Create, Drop
    • Constraints - Not Null, Primary Key, Unique Key, Foreign Key
    • Sequence
    • Synonyms
  • Foreign Keys
  • DML operations - Insert, Update & Delete
    • Insert, Update, Delete & Truncate
    • Common Operations
    • Creating Tables using queries
    • Bulk Data Inserts using Queries
  • Writing Queries
  • Filters
    • DISTINCT
    • BETWEEN
    • IN
    • LIKE
    • NOT
    • NULL
    • AND, OR, NOT etc
    • Using Complex Data Filtering Techniques
  • Sorting
    • Ascending Order
    • Descending Order
    • Complex Sorting
  • Functions
    • String Functions - lower case, uppercase, substring, instring, trim etc.
    • Number Functions
    • Date Manipulation
    • Null Value Functions - NVL, NVL2, NULLIF, COALESCE
    • Conditional Expressions - Case and Decode
  • Groups
    • Basics
    • Grouping functions - AVG, MIN, MAX, COUNT, DISTINCT COUNT etc
    • Grouping Filters - HAVING
    • Rollups & Cubes
  • Joins
    • Cartesian Product
    • Equi and Non-Equi Joins
    • Left Outer Join
    • Right Outer Join
    • Full Outer Join
    • Self Join
    • Complex Queries - Joins & Groups Integration
  • SET Operators
    • Union
    • Union All
    • Intersect
    • Minus
  • Subquery
    • Single Valued Row Sub Query
    • Multi Valued Sub Query
  • Views
  • Inline Views
  • ROWID & ROWNUM
  • TOP N Analysis using Inline Views
  • Analytic (Window) Functions
    • Top N Analysis
    • Over() with summary functions
    • Partition By Queries
    • ROW_NUMBER()
    • RANK()
    • DENSE_RANK()
  • Transactions ( T SQL)
    • Commit
    • Rollback
    • Savepoint
  • DCL - Grant & Revoke
  • Project
  • Introduction & Installation
    • Introdution
    • Installing Python
    • Installing Pycharm
    • Configurations
  • Programming Basics
    • Variables
    • Data Types
    • User Inputs
    • Unpacking
    • Boolean Practice
    • What If, Else and If, Making Decisions
    • For Loops
    • Break Continue Pass
    • Break Vs Continue Vs Pass
  • Data Structures
    • List
    • Tuple
    • Set
  • Logic Building & Programming
    • Pattern Programs
    • Prime Number
    • Fibonacci Sequence
    • Factorial
    • Recursion
    • Swap 2 Variables
  • Functions
    • Creating Functions
    • Functions Arguments
    • Type of Arguments
    • Keyworded Variable Length Arguments
    • Using Built in Functions
    • Global Keywords
    • Passing List to Functions
  • Anonymous Functions / Lambda
  • Filter / Map Reduce
  • Decorators
  • Modules
  • OOPs Programming
    • Modules
    • Special variable _name_
    • Class & Object
    • _init_ method
    • Constructor, Self and Comparing Objects
    • Inheritance
    • Polymorphism:
    • Method Overloading
    • Method Overriding
  • Exception Handling
  • File handling
  • MySQL
    • Installation
    • CRUD Operations (create, read, insert, update, delete)
  • Database Integration with Python
    • Connection to Database from Python
    • Writing functions to handle database operations
    • CRUD Operations in python
  • Web Scrapping
    • Beautiful SOUP library
    • Parsing HTML files
    • Getting Data from Any Website
  • Python for Data Science -
  • NumPy & Pandas
    • Installing & Understanding Analytics Packages
    • NumPy Array Operations
    • Pandas Data Frame Operations
    • Data Acquisition (Import & Export)
    • Indexing
    • Selection
    • Sorting
    • Filtering
    • Group By
    • Binning
    • Concatenation
    • Merge
  • Data Visualization
    • Installing Matplotlib
    • Charts & Plots
      • Histogram
      • Scatter Plots
      • Box Plots
      • Line Chart
      • Bar Chart
      • Pie Chart etc.
  • Mean, Median, Mode, Variance, Standard Deviation
  • Skewness, Kurtosis, Correlation, Covariance
  • Probability Distributions: Normal, Binomial, Poisson
  • Sampling, Central Limit Theorem
  • Hypothesis Testing: t-test, z-test, ANOVA, chi-square
  • Confidence Intervals, p-values, Type I & II errors
  • Note – Statistics part will be taken along with ML & AI as and when required
  • Data Preprocessing & EDA Overview
  • Handling missing values, outliers, duplicates
  • Encoding (One-hot, Label), Scaling (Standard, MinMax)
  • Feature engineering, selection techniques
  • EDA: Univariate, Bivariate, Multivariate analysis
  • Visuals: Heatmaps, Pairplots, Boxplots, Violin plots
  • Supervised Learning
    • Linear & Logistic Regression
    • Decision Tree, Random Forest, KNN
    • SVM with kernel functions
    • Naive Bayes, AdaBoost, XGBoost
    • Project 1: House Price Prediction
    • Project 2: Email Spam Detection
  • Unsupervised Learning
    • K-Means, DBSCAN, Hierarchical Clustering
    • Dimensionality Reduction: PCA
    • Project 3: Employee Role Segmentation
  • Model Evaluation & Optimization
    • Metrics: Accuracy, Precision, Recall, F1, AUC, R2, RMSE
    • Cross Validation, Stratified K-Fold
    • Hyperparameter tuning: GridSearchCV, RandomizedSearchCV
    • Imbalanced Data Handling: SMOTE, NearMiss
  • Time Series Analysis Basics
  • Trend, Seasonality, Noise, Stationarity
  • ADF Test, ARIMA, SARIMA
  • Facebook Prophet, Exponential Smoothing
  • Project 4: Sales Forecasting
  • NLP Basics
  • Text preprocessing: Tokenization, Lemmatization, Stopwords
  • BoW, TF-IDF, Word2Vec
  • Text Classification, Sentiment Analysis
  • Project 5: Sentiment Analysis of Product Reviews
  • Artificial Neural Networks (ANN)
    • Perceptron, Multilayer Perceptron
    • Forward & Backward Propagation
    • Activation, Loss functions, Optimizers
    • Overfitting, Regularization, Batch Normalization
    • Project 6: Iris Flower Classification using ANN
  • Computer Vision (CNNs for Image Processing)
    • Convolution, Pooling, Padding
    • Transfer Learning (VGG, ResNet)
    • R-CNN, Faster R-CNN
    • Project 7: Handwritten Digit Recognition
  • RNNs & LSTMs
    • RNN, LSTM, GRU, Bidirectional RNN
    • Sequence Modeling, Time Series, Text Generation
    • Project 8: Next Word Prediction using RNN & LSTM
  • Attention Mechanism, Transformer Architecture
  • Using Pre-trained Models (BERT, RoBERTa)
  • Embedding generation & fine-tuning
  • Project 9: Sentiment Analysis using BERT (Transformers)
  • GenAI
    • What is GenAI? Prompt Engineering
    • Use cases: Q&A, Summarization, Image Generation
    • Ethical concerns & safety
  • LLM Apps with OpenAI & LangChain
    • Using ollama
    • LangChain Pipelines, FAISS, ChromaDB
    • Chat with PDF, CSV, Excel
    • Project 10: Flow Stack Machine Learning Project
  • Web Deployment: Streamlit or Flask
  • Create AWS Instance
  • Model Deployment on AWS
  • Note - this module will be mostly online as trainers aare rare.
  • Introduction to Power BI
    • What is Power BI and Why Power BI
    • Installing Power BI Desktop
    • Exploring the Power BI Workflow
    • Adjusting the settings of the Power BI Desktop
    • Comparison of Power BI vs Other Reporting Tools
  • Getting and Transforming Data with Power BI Desktop
    • Connecting to different sources
    • Connecting to multiple sources
    • Different connecting Options(DirectQuery vs Import Data Vs Live Connection)
    • Shaping and transforming data with Power Query
    • Editing,Merging,Appending queries etc
  • Advance Importing techniques without coding
  • Data cleaning & Advance data cleaning
  • Modeling with Power BI
    • Introduction to Modeling
    • Building Relational Models(Setup and Manage Relationships)
    • Creating table relationships
    • Understanding the filter flow
    • Cardinality and Cross filtering
  • DAX
    • Understanding Dax Syntax
    • Calculated Columns vs Measures
    • Common Dax functions and formulae
    • Understanding the evaluation context in DAX
  • Visualising Data with Reports
    • Creating Visualisations
    • Color & Conditional Formatting
    • Setting Sort Order
    • Scatter & Bubble Charts & Play Axis
    • Tooltips
    • Slicers, Timeline Slicers & Sync Slicers
    • Cross Filtering and Highlighting
    • Visual, Page and Report Level Filters
    • Drill Down/Up
    • Hierarchies
    • Constant Lines
    • Tables, Matrices & Table Conditional Formatting
    • KPI's, Cards & Gauges
    • Map Visualisations
    • Custom Visuals
    • Managing and Arranging
    • Drillthrough
    • Custom Report Themes
    • Grouping and Binning
    • Bookmarks & Buttons
  • Introduction to Power BI Service
    • Introduction to the Power BI Service
    • Quick Tour of Power BI Service
    • Connecting to Data from Power BI service
    • Building Blocks of Power BI Service
  • Sharing and Collaboration Tools in Power BI Service
    • Sharing and Collaboration Options Overview
    • Publish from Power BI Desktop
    • Publish Reports to Web
    • Printing and Exporting from Power BI Service
    • Sharing Reports & Dashboards
  • Power BI Refreshing Datasets
    • What is refreshing?
    • Implementation
  • A.I. in Power BI
  • Advance Report techniques
  • Power Automate (Latest)
    • Introduction
    • installation
    • Types of flows
    • Actions
    • Copy multiple excel, pdf files from one folder
    • Merge PDF files together, Rename etc.
    • Extract phones name and price from amazon
  • Best Practices
  • Pkg1 - 3.5 to 4 months - Py + DS & AI
  • Pkg2 - 6 to 7 months - Full Course - DS & Analytics
  • Pkg2 - 4 to 5 months- (Full Course, Early Completion) - SQL & Power BI can be taken in parallel one at a time either on same day or on weekends to complete course earlier. Please inquire with institute for more info.
  • Note - Addon topics (Adv. AI) - duration and fees extra
  • Tableau / Adv Excel can be added
  • Individual Courses / Customized Training Available
  • more info
  • ₹60000 - ₹50000
  • Looking to complete training quickly? option available, please inquire for more info.
  • more info

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Online Training Fees


Online live interactive lectures conducted on Microsoft Teams, Googlemeet etc. & not pre-recorded lectures.. Free Lecture / Free Demo / Lecture Recordings available.

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✅ 1 Year Access
✅ 100% Refund Policy
✅ 6-months Partial or Lecture wise refund policy
✅ 1 Year Placement Support
✅ Training Material
✅ Software Installations
✅ Basic to Adv. Modules
✅ Certificate
✅ Project / Case Study
✅ Interview Preparation... etc.

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Our Network Of 1000+ Companies

(few mentioned below)

  • Company names are kept hidden - As we don't want to reveal names to competitors. You can check in institute.
  • This is a combined list for all courses as one company work in multiple technologies.
  • Can check full list in institute.

  • Inf…. Infotech
  • Tr….. Global Consulting Pvt. Ltd.
  • Pu…... Solutions India Private Limited
  • Ga…... Technologies Pvt. Ltd.
  • Pi... Technology
  • Em... Technologies Pvt. Ltd.
  • Ndim........... Solutions Pvt Ltd 
  • Star Union …......
  • Hum…......... Technologies Pvt. Ltd
  • Neo…... Pvt Ltd
  • Lo…... Solutions Private Limited
  • Co…...... Solution
  • Ve…...... Systems Pvt.Ltd
  • Shriya …............. Solutions, Pvt. Ltd
  • Val….......... Technologies Pvt Ltd
  • Tr…..... Technologies
  • Mae…....... Infotech Ltd.
  • Hu…. Systems Private Limited
  • Ve…. Solutions Pvt Ltd
  • Capgemini
  • Lio…......... Technologies
  • Elec…...... India Pvt Ltd (R & D Center)
  •  Int…...t Bizware Services Pvt .Ltd
  • Ne…..n Software Technologies
  • Car….. Innovations Pvt. Ltd
  • AT…. INDIA
  • Big…. Technologies Pvt. Ltd.
  • Biz….... Solutions
  • D... Consultants
  • eC….. Services Ltd
  • Ema…......... Technologies
  • In…. HR Pvt Ltd.
  • Ne…......t Design - Website Development
  • U….t Technologies
  • R…....d Technologies
  • Bl…............ Systems Infotech Pvt. Ltd.
  • Ne….. Solution Pvt Ltd
  • Con…....... Software & Systems
  • Quo…....... - A Technology Company
  • AX... Technologies Pvt Ltd
  • ANALYTIC…....... SOFTWARES PRIVATE.
  • Hi…...... Infotech Services
  • In…........ Business Solutions Pvt Ltd
  • In…............. Knowledge Solutions Pvt Ltd
  • Ge…..... Healthcare Solution
  • Cre…...... India Pvt Ltd
  • Qu…...... Intelligence Pvt Ltd
  • VE…... ALT…. INDIA PRIVATE LIMITED
  • Max….... Technologies Pvt .Ltd
  • Min…....... Software Technologies Pvt. Ltd
  • Ne…...... Systems Ltd
  • Quality Ki…...
  • Mso….. Solutions
  • Sarla …............ Pvt. Ltd
  • S….n …...... Technologies Pvt. Ltd. 
  • R... Analytics
  • Tark….......a Technologies
  • Sy…......s Solutions
  • Co…. Consultancy Services Pvt Ltd
  • Chem…............... technologies
  • Atos Syntel
  • Le…............ Consulting Pvt Ltd
  • NTT DATA
  • SA… Technologies Private Limited
  • Ora…....... Solutions Pvt ltd
  • T…......nect Media Services
  • SYS….....E INFOTECH
  • MU…................AAR PVT LTD
  • BLO…..........EMS PRIVATE LIMITED
  • Allied…............... Pvt. Ltd.
  • Pres…......... Digital India Pvt. Ltd.
  • Aim…..... Softech Pvt. Ltd.
  • Red…........ Pharmtech Pvt. Ltd.
  • Suthe….......
  • Es…...... Comp…............ Pvt Ltd.
  • He….................. Technologies India Private Limited
  • …. 1000+ Companies ...check full list in institute
+ Dedicated Placement Team

Outcome - Lots of students placed in ongoing training or within just 30 days of training completion. Students secured 2.8LPA, 3LPA, 3.4LPA, 3.7LPA, 4LPA, 4.5LPA, 6LPA & more packages.

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