Best Data Science Course in Mumbai - Online Training Classes Available

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  • Best Data Science course in Mumbai to learn in online / classroom format from best Data Science training institute and classes QuickXpert Infotech known for quality training in reasonable fees and placements!

  • About Our Data Science Certification Course -

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

  • Best Placement Service -

    Full placement support and continuous expert guidance until you get job until 1.25 years (more than sufficient)

      

    Fees / Details

  • Jobs Roles Targeted -

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

  • Pre-requisites -

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

  • Duration -

    Pkg1 - 3.5 months
    Pkg2 - 6 months
    (customized training available)

  • Workshop & Corporate Training -

    available

    • Call/WhatsApp: +91 7506252588, 7276681665

  • Inquire Now

Syllabus

Data Science & Anaytics Course

Python & Python Analytics
  • Introduction & Installation
    • Introdution to Python & Python Analytics or Adv. Python
    • Python / Anaconda Installations & Configuration
  • Programming Basics
    • Variables
    • Data Types
    • User Inputs
    • Unpacking
    • Boolean Practice
    • What If, Else and If, Making Decisions
    • Loops
  • Functions
    • Creating Functions
    • Using Built in Functions
  • OOPs Programming
    • Modules
    • Classes & Objects
    • Inheritance
    • Overloading
    • Composition
  • Data Structures
    • List
    • Tuple
    • Set
  • Exception Handling
  • MySQL Server Setup
    • Installing and Configuring MySQL Server
    • Creating Database
    • CRUD Operations
    • Create Tables
      • Insert
      • Update
      • Delete
  • Database Integration with Python
    • Connection to Database from Python
    • Writing functions to handle database operations
    • CRUD Operations in python
  • Web Scrapping
    • Getting Data from Any Website using Python (new)
  • Data Analytics in Python
    • Installing & Understanding Analytics Packages
    • NumPy Array Operations
    • Pandas Data Frame Operations
    • Data Acquisition (Import & Export)
    • Indexing
    • Selection
    • Sorting
    • Filtering
    • Group By
    • Binning
    • Concatenation
    • Merge
    • Append
    • Drop
  • Data Visualization in Python
    • Installing Librarires
      • Matplotlib
      • Seaborn
    • Charts & Plots
      • Histogram
      • Scatter Plots
      • Box Plots
      • Line Chart
      • Bar Chart
      • Pie Chart etc.
    • Dashboards
    • Project
  • Beautiful SOAP library
  • Project

Machine Learning
  • Learn Statistics, Machine Learning (ML) & Adv. ML
  • Introduction & Configuration
    • Introduction to Machine Learning & Data Analysis
    • Types of machine learning (supervised, unsupervised, reinforcement)
    • Machine Learning Workflow
    • Installing & Using Scikit-Learn Package
  • Data Preprocessing
    • Data cleaning and preparation
    • Handling missing values
    • Feature scaling and encoding
  • Statistics & Exploratory Data Analysis (EDA)
    • Descriptive Statistics
    • Descriptive Analytics
    • Measure of Central Tendency
    • Dispersion
    • Probability Distribution
    • Correlation & Covariance
    • Inferential Statistics
    • Diagnostic Analytics
    • Outliers | Missing Values
    • Sparsity
    • Inferential Statistics
    • Random Sampling
    • Hypothesis Testing
       
  • Supervised Learning
    • Linear Regression
    • Multi-Linear Regression
    • Decision Tree (CART)
    • Ensemble Learning
    • Random Forest
    • xgBoost
    • K Nearest Neighbors (KNN)
    • Support Vector Machine (SVM)
    • Kernel Functions
    • Naive Bayes Classifier (NBC) / MultinomialNB Algorithm
    • GRID SEARCH CV AND RANDOM SEARCG CV
    • Linear Discriminant Analysis (LDA)
       
  • Unsupervised Learning
    • Hierachical Clustering
    • K Means Clustering
       
  • Dimensionality Reduction
    • Principal Component Analysis (PCA)
       
  • Time Series Forecasting
    • Time Series Data
    • Trend Chart
    • Stationarity
    • Seasonality
    • Moving Average
    • Exponential Smoothing
    • ARIMA
    • GARCH
       
  • Model Improvement & Validation
    • Regularization
    • Lasso
    • Ridge
    • ElasticNet
    • Cross Validation
       
  • Methods
    • Sigmoid Function
    • Entropy
    • Information Gain
    • Gini Index
    • Feature Selection
    • Ensemble Modeling (Bagging | Boosting | Stacking)
    • K Selection / Distance Metrics
    • Kernel Functions
    • Elbow Method
       
  • Metrics
    • MAE / MSE/ RMSE / R2 and Adjusted R2
    • AUC ROC CURVE
    • Precision
    • Recall
    • F1 score
    • Confusion Metrics
  • Only Theory
    • SMOTE and near miss
    • EXTRA TREE CLASSIFIER (Random forest)
    • TPOT
    • LOG LOSS
    • CROSS VALIDATION
    • KERNAL PCA
    • LIGHT GBM and cat boosting
    • DBSCAN
    • MINI BATCH K MEANS
    • Passive Aggressive Classifier Algorithm
    • Facebook Prophet
    • time series RNN LSTM
       
  • When to Use Which Algorithms!
     
  • Multiple Projects / Case Studies

Artificial Intelligence
  • Intro to AI & Neural Networks
    • Deep Learning vs Machine Learning
    • Tech Advancement
    • All about Artificial Neural Networks (ANN)
    • Understand How Deep Neural Network Works?
    • Different variants of Gradient Descent
    • Stochastic Gradient Descent vs Adam vs Others
    • Hyper parameter Tuning
    • Batch Size
    • Learning Rate
    • Momentum
       
  • Deep Learning in Python
    • Deep Learning packages in python
    • Google TensorFlow Framework
    • Model Building with default TFLearn API
    • Keras Vs TFLearn Vs Pycharm APIs
    • Model Building with Keras API Wrapper
    • Activations
    • Optimizers
    • Losses
    • Validation
    • Evaluation Metrics
    • Keras Backend
    • Callbacks - Early Stopping, TensorBoard
       
  • CNN - Convolutional Neural Networks
    • Understanding Architecture & Visualizing a CNN
    • Stochastic Gradient Descent vs Adam vs Others
    • Hyper parameter Tuning
    • Batch Size
    • Learning Rate
    • Momentum
       
  • Transfer Learning
    • vgg16
      • Activations
      • Optimizers
      • Losses
      • Validation
      • Evaluation Metrics
      • Keras Backend
      • Callbacks - Early Stopping, TensorBoard
    • vgg19
      • Kernel
      • Depth
      • Pooling
    • resnrt 50
       
  • NLTK
    • Simple NLTK
      • Stemming
      • Lemitaization
      • Regex
      • Stopwords
      • Corpus
      • Unigram
      • Bigram
      • Trigram
    • BAG fo words(count vectorization)
    • TD-IDF-term frequency inverse document frequency 1
    • Word embedding
      • word 2 vec --cbow / skipgram
      • glove
    • Fasttext
    • Keyed vector
    • LSTM / RNN (bidirentional)
    • GRU(theory - Arthiecture build )
       
  • Multiple Projects / Case Studies

SQL

  • Oracle 18/21c 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 Complex Inline View
  • 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

Power BI

  • 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
  • Best Practices

Duration
  • Pkg1 - Data Science - 3.5 to 4 months
  • Pkg2 - Data Science & Analytics - Pkg1 + SQL + Power BI - 6 months
  • Individual courses / Customized training available
  • Batches | Fees

Fees
  • Live Online:
  • Data Science - ₹28000 - ₹23000 (Limited Period)
  • Data Science & Analytics - ₹42000 - ₹36000 (Limited Period)
  • Individual courses / Customized training available

  • Classroom - Get Fees
  • Fees inclusive of GST
  • Upcoming Batches
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Tools You Will Learn

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Data Science Projects

Few of the projects covered in one of our batches

Online Live Training


✅ Online Live Interactive Lectures conducted on Zoom, Googlemeet etc. & not pre-recorded sessions.
✅ 1-2-1 Online Doubt Solving via screen share.
✅ Free Lecture / Free Demo / Lecture Recordings available.
✅ 100% refund if you don't understand first 2 lectures.

Today's Offer:

0 Days
:
2 Hours
:
40 Minutes
:
20 Seconds
Fees
Total Discount On Full Course 5% off on Multi Course Pay
₹0 - ₹0 - ₹0 ₹0
✅ Fees inclusive of GST
✅ EMI / customized training available
✅ Enroll / Queries? - Contact Us
Batches

Please Note : If unable to find your preferred timings, then please contact us so that we can arrange a suitable batch for you. Customized training available.

Fees / Details

Classroom Training


✅ Interactive Classroom Lectures.
✅ 1-2-1 Doubt Solving.
✅ Free Lecture / Free Demo / Hybrid Learning Mode available.
✅ Please submit inquiry form or visit institute for fees and batches.
Please submit inquiry form for Fees & Batches.

Fees / Details

Self Paced Learning + PLACEMENT SUPPORT

(If video goes blank, means practice time is given. For best experience watch without skipping.)

Today's Offer


Overview :

Duration : + your practice time

Benefits:


✅ 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.

Best for those who want to learn Job Oriented Course at Own Pace Anywhere AnyTime!

More Info :-

✅ Who can enroll? - Freshers, Beginners, Exp. etc. those who want to learn job oriented courses at own pace at own time.

read more ...

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Enroll > Learn > Succeed

Related Course

Adv. Data Science And Analytics

Google Reviews

  • Aishwariya Tari

    I have enrolled for data science course. Excellent teaching and supportive environment. Overall a positive experience with the institute. Apurva mam taught us sql and python explaining every concept in clear and concise manner. Aditya sir teaches tableau in wonderful way. He ensures the doubts are cleared and easier to understand. Tejas Sir taught machine learning and AI in an excellent manner by giving apt examples to make us understand the concepts in an easier way.

  • Pradeep Unde

    The emphasis on practical training sets Quick Expert Infotech apart, providing a 100% practical training environment. The trainers are not only skilled but also incredibly cooperative, ensuring that every trainee gets the hands-on experience necessary for success in the field. Trainee Tejas sir's guidance has been instrumental in navigating the complexities of data science, making the learning journey both engaging and enriching. I appreciate the commitment of Quick Expert Infotech to delivering quality education, and I am confident that the skills and knowledge I am gaining here will be invaluable in my IT career. I highly recommend Quick Expert Infotech to anyone seeking a comprehensive and practical approach to data science training.

  • Mayuri Gujar

    I have join QuickXpert infotech for Data science.I got trainer Shreya mam . She is very patient which anyone that takes a language needs – and it’s very comfortable to practice, which is also a huge plus. I recommend her highly. She is an excellent teacher! She provides both a great mix of listening, speaking and practical learning activities. Her manner of teaching is so wonderful and refreshing!! Thank you..!

  • Aishwariya Alure

    In this Data science course, I have learnt many things and enjoyed as well. Lessons are well structured. Incorporating real-world examples in classes to help us understand the concepts. I am happy to have you as my mentor for this course. Thank you for this memorable classes.

  • Prapti Tamboli

    I Join QuickXpert Infotech for Data Science Course. And recently I have completed my course, My heartfelt Thank You to Shreya ma'am for guiding us through this whole course. Your teaching technique makes everything easier for us, to understand each concept properly. You are the best mentor anyone could ask for!! Thank You ma'am!!

  • Sonali Ghadage

    Excellent training institute for data science course. I have join quickexpert for data science,Mrs. Shreya Jain ma'am is our trainer to teach us Data Science. She teach us very friendly and easy way by which we can understand the concept and use them. If we have a doubt and in one time our doubt is not clear then mam will clear our doubt several times until our doubt gets cleared also gives other extra knowledge for our betterment. The quality of the subject that we got from her is outstanding..The quality of the subject that we got from her is outstanding & I am recommend everyone to learn data science & Analyst skills only shreya maam

  • Rahul Salunkhe

    I joined QuickXpert and I completed DataScience course here, it was very good experience to learn here, all the queries and doubts are cleared by Mrs. Shreya Jain at the same time and I have done Practice more than many projects, like Titanic, Flight price predictions , HR Attribute etc.

  • Nikhil Chikhalkar

    I completed a comprehensive Data Science course at Quick Expert Institute, and I am thoroughly impressed with my experience. The course content was well-structured, covering all the essential concepts and tools required for data science, such as Python, machine learning, statistics, and data visualization.What sets Quick Expert Institute apart is their dedicated placement support.

  • Aniket Magar

    I'm pursuing data science course from Quick expert infotech under trainee Tejas sir. This is one of the finest training centre for the IT sector. The faculty and management is always ready to support.100% practical training environment with skilled cooperative trainers.

  • Pragati Namde

    I Join QuickXpert Infotech for Data Science Course. And recently I have completed my course, My heartfelt Thank You to Tejas Tambe sir for guiding us through this whole course. Your teaching technique makes everything easier for us, to understand each concept properly. You are the best mentor anyone could ask for!! Thank You sir !I
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Online Live Training


✅ Online Live Interactive Lectures conducted on Zoom, Googlemeet etc. & not pre-recorded sessions.
✅ 1-2-1 Online Doubt Solving via screen share.
✅ Free Lecture / Free Demo / Lecture Recordings available.
✅ 100% refund if you don't understand first 2 lectures.

Financial Year End Offer:
(upto 30% Off)
Hurry...

0 Days
:
2 Hours
:
40 Minutes
:
20 Seconds
Fees
Total Discount On Full Course 5% off on Multi Course Pay
₹0 - ₹0 - ₹0 ₹0
✅ Fees inclusive of GST
✅ EMI / customized training available
✅ Enroll / Queries? - Contact Us
Batches

Please Note : If unable to find your preferred timings, then please contact us so that we can arrange a suitable batch for you. Customized training available.

Fees / Details

Classroom Training


✅ Interactive Classroom Lectures.
✅ 1-2-1 Doubt Solving.
✅ Free Lecture / Free Demo / Hybrid Learning Mode available.
✅ Please submit inquiry form or visit institute for fees and batches.
Please submit inquiry form for Fees & Batches.

Inquiry Form

Self Paced Learning + PLACEMENT SUPPORT

(If video goes blank, means practice time is given. For best experience watch without skipping.)

Today's Offer


Overview :

Duration : + your practice time

Benefits:


✅ 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.

Best for those who want to learn Job Oriented Course at Own Pace Anywhere AnyTime!

More Info :-

✅ Who can enroll? - Freshers, Beginners, Exp. etc. those who want to learn job oriented courses at own pace at own time.

read more ...

Enroll & Start Learning Right Now

  

Enroll > Learn > Succeed


Info Get Offer