Best Data Science And Analytics Certification Training in Thane with 100% Job Placement
Learners 1000+
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Best Data Science And Analytics Training in Thane with 100% Job Placement to Learn in Online / Classroom Format from Best Data Science And Analytics Training Institute & Classes QuickXpert Infotech well known for Quality Training in Reasonable Fees and Placements, eligibility criteria & terms apply, check FAQ.
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About Our Advanced Data Science & Analytics Training Program with 100% Job Placement -
Learn database, stats, ml, ai and visualization tools to become an Advanced Data Science Professional in short duration with 100% Job Placement.
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Get Hired Quickly -
Get hired quickly with early placement initiation around 70% training completion (criteria-based) or bydefault on completion, full placement support and continuous expert guidance until you get hired. Enroll Today.
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Jobs Roles Targeted -
Data Science Engineer, Data Scientist, Machine Learning Engineer, Data Analyst, Data Analytics Engineer etc.
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Pre-requisites -
None. Any one from IT & non IT can learn.
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Duration -
7.5 months
with option to complete in 5/6 months
Call/WhatsApp: +91 7506252588, 7276681665
Syllabus
- Learn both MySQL & Adv. MySQL
- MySQL & Database Basics
- Installation
- Server
- Workbench (client)
- DDL - Data Definition Language
- Tables - Create, Alter, Drop, Auto Increment
- Constraints - Not Null, Primary Key, Unique Key, Foreign Key
- Index - Why required, Create, Drop
- DML - Data Manipulation Language
- Insert, Update, Delete & Truncate
- Transactions (T SQL)
- Commit
- Rollback
- DQL - Data Query Language (Select)
- Filters
- Operators - <, <=, >, >=, =, !=
- BETWEEN
- IN
- LIKE
- NOT
- NULL
- AND, OR, NOT
- Multi conditions filtering
- DISTINCT
- Limit, offset
- Sorting
- Ascending Order
- Descending Order
- Multi Column Sorting
- Functions
- Data, number, characters, null values etc.
- Case
- Groups
- Basics
- Grouping functions - AVG, MIN, MAX, COUNT, DISTINCT COUNT
- Grouping Filters - HAVING
- Joins
- Cartesian Product
- Equi and Non-Equi Joins
- Left Outer Join
- Right Outer Join
- Full Outer Join
- Self Join
- SET Operators
- Union
- Union All
- Intersect
- Minus
- Subquery
- Single Valued
- Multi Valued
- Views & Inline Views
- Procedures
- Programming basics - if..else, for loop
- Procedures - create, drop
- Functions
- create, drop
- Triggers
- create, drop
- Analytic (Window) Functions
- Top N Analysis
- Over() with summary functions
- Partition By Queries
- ROW_NUMBER()
- RANK()
- DENSE_RANK()
- Project
- 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
- Installing Librarires
- Beautiful SOAP library
- Project
- 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
- 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
- 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
- Installation and Configuration
- Introduction to Tableau
- Architecture
- Data Model
- Data Connection with single data sources
- Data Joins
- Live vs extract connection
- Working with multiple data sources
- Data Blending
- Difference between joining and blending data
- Tableau Interface
- Measures and dimension
- Shelves
- Show me
- Data Types
- Default Properties
- Marks Card
- Page Shelf
- Saving and sharing your work-overview
- Difference between .twb and .twbx
- Discrete vs Continuous
- Date Aggregations and Date parts
- Cross tab
- Totals & Subtotals
- Chart Types
- Bar Charts & Stacked Bars
- Pie Chart
- Line Graph with Date
- Line Graph without Date
- Area charts
- Tree Map
- Word Cloud
- Packed Bubble
- Box & Whiskers Plot
- Scatter Plots
- Highlight tables
- Heat maps
- Data Visualization
- Geographical fields
- Map options
- Run Time Columns
- Calculated Fields
- String Calculation
- Data Calculation
- Logical Calculation
- Numeric Calculation
- Parameters
- Table Calculations
- Level of detail
- Data Formatting
- Legends
- Highlights
- Labelling
- Number Formats
- Alignment
- Advanced Functionalities
- Sorting
- Groups
- Sets
- Hierarchy
- Reference and Trend Lines
- Edit Axis
- Bins
- Filters
- Dimension Filter
- Measure Filter
- Filter - Display Option
- Context Filters
- Relevant Filters
- Sets in filters
- Conditional Filters
- Advanced Charts
- Pareto
- Waterfall
- Funnel
- Waffel Chart
- Predictive Analysis
- Forecasting
- Clusters
- Dashboards
- Dashboard Objects
- Dashboard Actions
- URL
- Highlight
- Filter
- Advanced Interactivity
- Publish to Web
- Story (Adv)
- Report designing & exporting
- Case Studies / Project
- Data Visualization & Analytics
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- Data Sources
- from SQL (MySQL)
- from Flat Files (CSV / Excel etc.)
- from Python
- 8 months
- Addon - Excel Analytics
- Upcoming Batches | Get Fees
- Live Online:
₹55000- ₹50000 (Limited Period) - Classroom - Get Fees
- Upcoming Batches
Tools You Will Learn
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
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.
Self Paced Learning + PLACEMENT SUPPORT
Learn From Online Batch Recording
(watch preview)
(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 ...
Watch Lecture
Google Reviews
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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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Certification
Get Certified - Get a valid course completion ISO certificate accepted in the industry.
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
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.
Self Paced Learning + PLACEMENT SUPPORT
Learn From Online Batch Recording
(watch preview)
(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 ...