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

  • Best Job-Focused Data Science course in Lucknow 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.

  • 100% Placement Support -

    End-to-end placement support with early placement initiation during training (eligibility-based), continuous expert guidance and a simple placement process powered by our dedicated placement team and strong hiring network of 1000+ companies to help you get the 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
  • Option 1 - 7 months - Full Course
  • Option 2 - 4.5 months- (Full Course, Early Completion) - SQL or 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.
  • 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 live interactive lectures with live doubt solving via screen sharing conducted on Microsoft Teams, Googlemeet etc. & not pre-recorded sessions. read more ...

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✅ 100% Job Oriented Course
✅ Instant Activation
✅ 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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100% Placement Support

 
End-to-end placement support with early placement initiation if some criterias are fulfilled or automatically on completion, continuous expert guidance and our proven placement process supported by our dedicated placement team and backed by our strong network of 1000+ companies to help students get the best job opportunities and placements faster.

Placing students since 2014. You can be the Next.
Enroll → Learn → Succeed

Our Network Of 1000+ Companies

(few mentioned below)

  • This is a combined list for all courses because companies work on multiple technologies.
  • Full company list with names available 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
    + Early Placement Initiation

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

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    Real World Projects

    Study Material, Lecture Recordings etc.

    Industry Recognized Certificate
    (ISO & MSME Reg.)

    Interview Preparation

    1000+ Companies
    Best Placement Service
    (Since 2014)

    ... the list is extensive
    To Experience Our Benefits,
    You Could Too !
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    Best IT Training, Since 2014
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    Expert Trainers
    100% Practical Training
    Job Ready Curriculum
    Projects / Case Studies
    Short Batches, Individual Attention
    Online / Offline / Hybrid Batches
    Lecture Recordings as applicable
    Interview & CV Preparation
    Get Certified
    Reasonable Fees
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    Best Placement Service etc.
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    Office no. 101 & 102, 1st Floor, Pahlaj Kunj, Lohar Ali road, besides Karnavat Classes, close to Jagdish Book Depo, Shivaji Path, near Thane w. rly. stn.

     
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