Data Science and Machine Learning with Artificial Intelligence (AI) Using Python
Learn Data Science & Machine Learning with Python Language
Trainer :- Experienced Data Science Consultant
Duration : 4 Months
Become a Data Scientist
One time registration fee 5000/- Pay Now
Introduction to Data Science
- Why Data Science?
- What is Data Science?
- Components of Data Science
- Life Cycle of Data Science
- Tasks of Data Scientist
- Data Science in different sectors
- Data Science tools
====================================================
The syllabus is divided into 4 modules where you will learn about various Data Science skills using Python programming language. In the first module, Basic and advanced Python will be covered. In the second module, you will learn about Data Analytics frameworks using Numpy, Pandas, etc. In the third module, we will be covering data visualization which is necessary for data science. In the last modules, Machine Learning and its various algorithms will be covered.
Module 1
Python (Basic & Advanced)
Python Basic
Introduction to Python
- Overview of Python
- Introduction of Python
- Installation of python
- Feature of python
- History of python
- Installing Python and code editor IDE
- Introduction to the anaconda distribution platform
- Introduction to Jupytrt Notebook and how to work on it
- Introduction to google collaboratory
- Running python programs using terminal
- Variables
- Data type
- Working on Integers, Floats, Booleans in Python
- Playing with Strings in Python
- Working on Lists
- Creating lists
- List functions
- List Methods
- Nested Lists
- Working on Tuples
- Creating Tuple
- Tuple Functions
- Tuple Methods
- Working on Sets
- Creating Sets
- Set Functions
- Set Methods
- Frozen Sets
- Working on Dictionary
- Creating Dictionaries
- Dictionary Functions
- Dictionary Methods
- Operators
- Arithmetic Operator
- Relational operators
- Assignment operators
- Logical operators
- Special operators
- Bitwise Operators
- Control Structures
- Conditional Statements
- IF STATEMENT
- IF / ELSE Statement
- IF/ElIF/ELSE Statement
- Nested IF/ELSE Statements
- Expressions and Statements
- Indentations
- Writing Comments
- Iterations and Iterables
- Loops
- For Loop
- While Loop
- Range and xrange Functions
- Break, Continue, and Pass
- Python Functions
- Introduction to Python function
- Types of Python Functions
- Built-in Python Functions
- User-defined Python function
- Defining function
- Calling Function
- Parameters and arguments
- Positional Arguments
- Default Arguments
- Keyword Arguments
- Arbitrary Arguments
- Docstrings
- Recursive Functions
- Lamda Functions
- Object Oriented Programming
- Objects
- Classes
- Creating empty class
- Creating class and defining attributes
- Class methods and attributes
- Constructors
- Generators
- Decorators
- Instance and class variables
- Inheritance
- Polymorphism
- File Handling
- Reading and writing files
- Opening and closing files
- Deleting Testing and debugging Files
- Errors and Exception Handling
- Modules and Packages
- Importing Modules
- Creating and importing packages
- Namespaces
- Testing and Debugging
- Debugging with print statement
- Debugging with the debugger
- Testing with unit Test module
- Database connectivity
====================================================
Data Analytics Training with Tableau and PowerBI
Module 2
Basic Excel Course Syllabus Introduction to Computers
- Font formatting
- Number formatting
- Table formatting
- Conditional formatting
- Hide/ Unhide
- Sort/filter
- Paste special
- Find and select
Insert
- Illustrations
- Charts
- Tex
Basic Functions
- Sum/Average/Count/Max/Min
- Basic Text/date/time/lookup/information functions
- Name manager
- Formula Auditing
Data
- Import from web
- Import from text
- Text to columns
- Remove duplicates
- Grouping and ungrouping
Review
- Proofing
- Comments
- Protection
Views
- Typesofviews
- Zoom
- Windows
Developer
- Enable developer
- Using checkbox/option buttons
============================================
Module 3
Advanced Excel Course Syllabus
Excel 2007 & 2010,2013, 2016 Quick Overview
- Difference between Excel2003, 2007 and 2010, 2013, 2016
- Use of Excel, its boundaries & features
Basic Formula
- Formulae that Add/ Subtract/ Multiply/ Divide
- BODMAS / Formula Error Checking
- The Sum Function
Absolute Referencing
- Problems with Absolute /Relative Cell Referencing
- Creating Absolute /Mixed References
LOOKUP Functions
- The VLOOKUP/ HLOOKUP Functions
Pivot Tables
- Creating,Formatting Simple Pivot Tables
- Page Field in a Pivot Table
- Formatting a Pivot Table
- Creating/ Modifying a Pivot Chart
Logical Functions
- IFs and Nested IF Functions
- Using AND/OR/ NOT Functions
Statistical Functions
- Using The SUM IF / COUNT IF Functions
- Using The AVERAGE/COUNT/LARGER/SMALLER Functions
Pivot Tables–Advance
- Adding new calculated Fields/Items
- Changing the Summary Function
- Consolidate Pivot table
LOOKUP Functions–Advance
- MATCH with VLOOKUP Functions
- INDEX& MATCH Functions
- OFFSET/INDIRECT functions
Logical Functions–Advance
- If Loop and Nested IF Loop Functions
- Using IF/IS ERROR Functions
Chart Data Techniques
- The Chart Wizard
- Chart Types
- Adding Title/Legends/ Labels
- Printing Charts
- Adding Data to a Chart
- Formatting/Renaming/Deleting Data Series
- Changing the Order of Data Series
Date / Time Functions
- Using The Today
- Now& Date Functions
- Using The Dated if/ Network days/Eomonth Functions
- Using The Week num Functions
- Using The Edate/Network days.Intl/Weekdays.Intl Functions
Text Functions Using
- The Mid/Search/Left/Right Functions
- Using The Trim/Clean/Upper/Lower Functions
- Using The Substitute/Text Functions
- Using The Trim/Clean/Proper/Dollar Function
Validations
- Input Messages/Error Alerts/Drop-Down Lists
- Conditional Formatting
Advanced Filters
- Extracting Records with Advanced Filter
- Using Formula sin Criteria
Advanced Sorting
- Sorting by Top to Bottom/Left to Right
- Creating/Deleting Custom List
- Sort by using Custom List
Hyper/Data Linking
- Hyper linking data,within sheet/workbook
- Linking&Updating links between workbooks&application
Math & Trigonometry Functions
- Using SUM PRODUCT Functions
- Using FLOOR/CEILING/MROUND/MOD/QUOTIENT Functions
Summarizing Data
- Creating Subtotals/Nested Subtotals
- SUBTOTALS Formula
Outlining
- Creating/Working with an Automatic/Manual Outline
- Grouping/Un grouping
Consolidation
- Consolidating Data with Identical/Different Layout
Using Auditing Tools
- Displaying/Removing Dependent&Precedent Arrows
- Evaluate Formula–StepIN/StepOut
Custom Views
- Creating Custom Views
- Displaying Custom Views
- Deleting Custom Views
Sharing and Protecting Workbooks
- Sharing Workbooks&Tracking Changes
- Protecting sheets/workbooks/Files
Importing & Exporting Data
- Importing Data from Database/ TextFiles/Web
- Exporting Data
- Changing External Data Range
====================================================
Module 4
SQL
Introduction of SQL
SQL Statements
- DDL
- DML
- DQL
- DCL
SQL CONSTRINTS
- UNIQUE
- PRIMARY KEY
- NULL
- NOT NULL
- CHECK
- DEFAULT
- FOREIGN KEY
SQL OPERTORS
- AND
- OR
- LIKE
- IN
- BETWEEN
- IS
SQL FUNCTIONS
- MIN()
- MAX()
- COUNT()
- SUM()
- AVG()
- LENGTH()
- REVERSE()
- REPLACE()
- INSTR()
- SUBSTR()
- TRIM()
- ROUND()
- ABS()
- SQRT()
- MOD()
SQL CLAUSE
- WHERE
- GROUP BY
- ORDER BY
- HAVING
SUB QUERIS
JOINS
- inner join
- outer join
- left join
- right join
====================================================
Module 5
TABLEAU
Understanding Data
- What is data Where to find data
- Foundations for building Data Visualizations
Creating Your First visualization
- Getting started with Tableau Software Using Data file formats
- Connecting your Data to Tableau
- Creating basic charts(line,bar charts,Tree maps) Using the Show me panel
Tableau Calculations
- Overview of SUM, AVR, and Aggregate features
- Creating custom calculations and fields
- Applying new data calculations to your visualization
Formatting
- Visualizations
- Formatting Tools and Menus
- Formatting specific parts of the view
- Editing and Formatting Axes
Manipulating Data in Tableau
- Cleaning- up the data with the Data Interpreter Structuring your data
- Sorting and filtering Tableau data
- Pivoting Tableau data
Advanced Visualization Tools
- Using Filters
- Using the Detail panel Using the Size panels Customizing filters
- Using and Customizing tooltips Formatting your data with colors
Creating Dashboards & Stories
- Using Storytelling
- Creating your first dashboard and Story Design for different displays
- Adding interactivity to your Dashboard
Distributing & Publishing Your Visualization
- Tableau file types
- Publishing toTableau
- Online Sharing your visualization Printing and exporting
====================================================
Module 6
POWER BI
Power BI Introduction
- Data Visualization,Reporting
- Business Intelligence(BI),Traditional BI,Self-Serviced BI
- Cloud Based BI,On Premise BI
- Power BI Products
- Power BI Desktop(Power Query,Power Pivot,Power View)
- Flow of Working PowerBI Desktop
- PowerBI Report Server,PowerBI Service,PowerBI Mobile Flowof Working PowerBI/PowerBI Architecture
- A Brief History of PowerBI
- Data Transformation,Benefits of Data Transformation
- Shape or Transform Data using Power Query
Power Query
- Overview of Power Query/Query Editor, Query Editor User Interface The
- Ribbon(Home,Transform, Add Column,View Tabs)
- The Queries Pane,The Data View/Results Pane,The Query Settings Pane,Formula Bar
- Saving the Work
- Datatypes,Changing the Data type of a Column Filter in Power Query
- Auto Filter/Basic Filtering
- Filter a Column using Text Filters
- Filter a Column using Number Filters
- Filter a Column using Date Filters
- Filter Multiple Columns
- Remove Columns/Remove Other Columns
- Name/Rename a Column
- Reorder Columns or Sort Columns
- Add Column/Custom Column Split
- Columns
- Merge Columns
- PIVOT,UNPIVOT Columns
- Transpose Columns
- Header Row or Use First Row as Headers
- Keep Top Rows,Keep Bottom Rows Keep
- Range of Rows
- Keep Duplicates,Keep Errors
- Remove Top Rows, Remove Bottom Rows,Remove Alternative Rows
- Remove Duplicates,Remove Blank Rows,Remove Errors
- Group Rows/Group By
Visualizations
-
- Visualizing Data,Why Visualizations
- Visualization types,Create and Format Bar and Column Charts
- Create and Format Stacked Bar Chart Stacked Column Chart Create
- and Format Clustered Bar Chart,Clustered Column Chart
- Create and Format 100% Stacked Bar Chart,100% Stacked Column Chart Createand
- Format Pie and Donut Charts
- Create and Format Scatter Charts
- Create and Format Table Visual,Matrix Visualization
- Line and Area Charts
- Create and Format Line Chart,Area Chart,Stacked Area Chart
- Combo Charts
- Create and Format Line and Stacked Column Chart,Line and Clustered Column Chart
- Create and Format Ribbon Chart,Waterfall Chart,Funnel Chart
PowerBI Service
- PowerBI Service Introduction,PowerBI Cloud Architecture
- Creating PowerBI Service Account, SIGN IN to PowerBI Service Account
- Publishing Reports to the PowerBI service,Import/Getting the Report to PBI Service My
- Workspace/App Workspaces Tabs
- DATASETS,WORKBOOKS,REPORTS,DASHBOARDS
- Working with Datasets,Creating Reports in Cloud using Published Datasets
Creating Dashboards
- P in Visuals and Pin LIVE Report Pages to Dashboard
- Advantages of Dashboards
- Interacting with Dashboards
- Formatting Dashboard
- Sharing Dashboard
====================================================
Module 7
Mathmatics
- Calculus
- Vector Algebra
- Matrices Algebra
- Introduction to Statistics
- Descriptive Statistics
- Inferential Statistics
- Probability Theory
- Random Variables
- Discrete & Continuous Distribution
- Joint Distribution
- Central Limit Theorem
- Hypothesis Testing
- Statistics Interview Questions
====================================================
Module 8
Machine Learning
- Introduction to ML
- Supervised and Unsupervised Machine Learning
- Linear Regression & Linear Regression Implementation
- Bias Variance Tradeoff
- Cross Validation and Hyper Parameter Tuning
- Logistic Regression
- Naive Bayes Classifier
- Support Vector Machine
- Principal Component Analysis
- User-Based Collaborative Filtering
- Item-Based Collaborative Filtering
- Finding Movie Similarities
- Improving the Results of Movie Similarities
- Making Movie Recommendations to People
- Improve the recommender’s results
- Machine Learning Interview Questions
====================================================
Module 9
Artificial Intelligence (AI)
- Decision Trees and Ensembles of Decision Trees
- K-Nearest Neighbours
- K-Means Clustering
- Introduction to Natural Language Processing
- Artificial Intelligence in Healthcare
- Artificial Intelligence in Fraud Risk Analytics
- Artificial Intelligence in Healthcare
- Artificial Intelligence Interview Questions
====================================================
Project: Project will be given as per latest topic.
Have a great career ahead…!!
Once you master your chosen program at Yess Infotech, you’ll walk away with a valuable certification!
- Why Choose Yess InfoTech?
Yess InfoTech offers a comprehensive approach to IT education and career development. Here’s why you should choose them:Optimal Learning Environment
Study Room: A dedicated space for focused learning.
Computer Equipped Lab: Hands-on practice with the latest technology.Expert Guidance
Experienced Trainers: Industry professionals sharing real-world knowledge.
Career Coach Sandip Sir: 8+ years of MNC experience providing valuable career guidance.
Personality Development Trainer: Enhancing soft skills essential for professional success.Comprehensive Support
Dedicated Placement Team: Assisting with job search and interview preparation.
Placement Record of 12 LPA: Demonstrating successful career outcomes.
Notes Availability: Additional resources for effective learning.
Recorded Sessions on Trechto App: Flexibility to review lessons at your convenience.
In essence, Yess InfoTech provides a holistic learning experience that equips students with the necessary technical skills, soft skills, and career support to excel in the IT industry.By combining a conducive learning environment, expert faculty, and a strong focus on career development, Yess InfoTech sets itself apart as a preferred choice for aspiring IT professionals.
Would you like to know more about a specific aspect of Yess InfoTech?
We Will Be Updated Soon.
Trainer is having 15 year experience in Data Science with 10 years in Data Science Machine Learning and AI. It has been 15 years now that he has been working extensively in the top level Software company. He is having different kind of certifications in DS. He also have done corporate sessions and seminars both in India and abroad. Recently he was engaged by Yess InfoTech for sessions and professional motivator for working processionals to achieve their day to day targets.
All trainers at our organization are currently working on the technologies in reputed organization. The curriculum is not just some theory or some PPTs. We have all practical sessions and that to we ask our student to implement the same in the session only. We provide notes for the same. We use simple easy language and the contents are well absorbed by the candidates. The always give assignment. Also that the faculties are industry experienced so we give real time projects and practice. We also provide recorded sessions but that will be costing differently. Also we provide result oriented training.
- + Curriculum
-
Introduction to Data Science
- Why Data Science?
- What is Data Science?
- Components of Data Science
- Life Cycle of Data Science
- Tasks of Data Scientist
- Data Science in different sectors
- Data Science tools
====================================================
The syllabus is divided into 4 modules where you will learn about various Data Science skills using Python programming language. In the first module, Basic and advanced Python will be covered. In the second module, you will learn about Data Analytics frameworks using Numpy, Pandas, etc. In the third module, we will be covering data visualization which is necessary for data science. In the last modules, Machine Learning and its various algorithms will be covered.
Module 1
Python (Basic & Advanced)
Python Basic
Introduction to Python
- Overview of Python
- Introduction of Python
- Installation of python
- Feature of python
- History of python
- Installing Python and code editor IDE
- Introduction to the anaconda distribution platform
- Introduction to Jupytrt Notebook and how to work on it
- Introduction to google collaboratory
- Running python programs using terminal
- Variables
- Data type
- Working on Integers, Floats, Booleans in Python
- Playing with Strings in Python
- Working on Lists
- Creating lists
- List functions
- List Methods
- Nested Lists
- Working on Tuples
- Creating Tuple
- Tuple Functions
- Tuple Methods
- Working on Sets
- Creating Sets
- Set Functions
- Set Methods
- Frozen Sets
- Working on Dictionary
- Creating Dictionaries
- Dictionary Functions
- Dictionary Methods
- Operators
- Arithmetic Operator
- Relational operators
- Assignment operators
- Logical operators
- Special operators
- Bitwise Operators
- Control Structures
- Conditional Statements
- IF STATEMENT
- IF / ELSE Statement
- IF/ElIF/ELSE Statement
- Nested IF/ELSE Statements
- Expressions and Statements
- Indentations
- Writing Comments
- Iterations and Iterables
- Loops
- For Loop
- While Loop
- Range and xrange Functions
- Break, Continue, and Pass
- Python Functions
- Introduction to Python function
- Types of Python Functions
- Built-in Python Functions
- User-defined Python function
- Defining function
- Calling Function
- Parameters and arguments
- Positional Arguments
- Default Arguments
- Keyword Arguments
- Arbitrary Arguments
- Docstrings
- Recursive Functions
- Lamda Functions
- Object Oriented Programming
- Objects
- Classes
- Creating empty class
- Creating class and defining attributes
- Class methods and attributes
- Constructors
- Generators
- Decorators
- Instance and class variables
- Inheritance
- Polymorphism
- File Handling
- Reading and writing files
- Opening and closing files
- Deleting Testing and debugging Files
- Errors and Exception Handling
- Modules and Packages
- Importing Modules
- Creating and importing packages
- Namespaces
- Testing and Debugging
- Debugging with print statement
- Debugging with the debugger
- Testing with unit Test module
- Database connectivity
====================================================
Data Analytics Training with Tableau and PowerBI
Module 2
Basic Excel Course Syllabus Introduction to Computers
- Font formatting
- Number formatting
- Table formatting
- Conditional formatting
- Hide/ Unhide
- Sort/filter
- Paste special
- Find and select
Insert
- Illustrations
- Charts
- Tex
Basic Functions
- Sum/Average/Count/Max/Min
- Basic Text/date/time/lookup/information functions
- Name manager
- Formula Auditing
Data
- Import from web
- Import from text
- Text to columns
- Remove duplicates
- Grouping and ungrouping
Review
- Proofing
- Comments
- Protection
Views
- Typesofviews
- Zoom
- Windows
Developer
- Enable developer
- Using checkbox/option buttons
============================================
Module 3
Advanced Excel Course Syllabus
Excel 2007 & 2010,2013, 2016 Quick Overview
- Difference between Excel2003, 2007 and 2010, 2013, 2016
- Use of Excel, its boundaries & features
Basic Formula
- Formulae that Add/ Subtract/ Multiply/ Divide
- BODMAS / Formula Error Checking
- The Sum Function
Absolute Referencing
- Problems with Absolute /Relative Cell Referencing
- Creating Absolute /Mixed References
LOOKUP Functions
- The VLOOKUP/ HLOOKUP Functions
Pivot Tables
- Creating,Formatting Simple Pivot Tables
- Page Field in a Pivot Table
- Formatting a Pivot Table
- Creating/ Modifying a Pivot Chart
Logical Functions
- IFs and Nested IF Functions
- Using AND/OR/ NOT Functions
Statistical Functions
- Using The SUM IF / COUNT IF Functions
- Using The AVERAGE/COUNT/LARGER/SMALLER Functions
Pivot Tables–Advance
- Adding new calculated Fields/Items
- Changing the Summary Function
- Consolidate Pivot table
LOOKUP Functions–Advance
- MATCH with VLOOKUP Functions
- INDEX& MATCH Functions
- OFFSET/INDIRECT functions
Logical Functions–Advance
- If Loop and Nested IF Loop Functions
- Using IF/IS ERROR Functions
Chart Data Techniques
- The Chart Wizard
- Chart Types
- Adding Title/Legends/ Labels
- Printing Charts
- Adding Data to a Chart
- Formatting/Renaming/Deleting Data Series
- Changing the Order of Data Series
Date / Time Functions
- Using The Today
- Now& Date Functions
- Using The Dated if/ Network days/Eomonth Functions
- Using The Week num Functions
- Using The Edate/Network days.Intl/Weekdays.Intl Functions
Text Functions Using
- The Mid/Search/Left/Right Functions
- Using The Trim/Clean/Upper/Lower Functions
- Using The Substitute/Text Functions
- Using The Trim/Clean/Proper/Dollar Function
Validations
- Input Messages/Error Alerts/Drop-Down Lists
- Conditional Formatting
Advanced Filters
- Extracting Records with Advanced Filter
- Using Formula sin Criteria
Advanced Sorting
- Sorting by Top to Bottom/Left to Right
- Creating/Deleting Custom List
- Sort by using Custom List
Hyper/Data Linking
- Hyper linking data,within sheet/workbook
- Linking&Updating links between workbooks&application
Math & Trigonometry Functions
- Using SUM PRODUCT Functions
- Using FLOOR/CEILING/MROUND/MOD/QUOTIENT Functions
Summarizing Data
- Creating Subtotals/Nested Subtotals
- SUBTOTALS Formula
Outlining
- Creating/Working with an Automatic/Manual Outline
- Grouping/Un grouping
Consolidation
- Consolidating Data with Identical/Different Layout
Using Auditing Tools
- Displaying/Removing Dependent&Precedent Arrows
- Evaluate Formula–StepIN/StepOut
Custom Views
- Creating Custom Views
- Displaying Custom Views
- Deleting Custom Views
Sharing and Protecting Workbooks
- Sharing Workbooks&Tracking Changes
- Protecting sheets/workbooks/Files
Importing & Exporting Data
- Importing Data from Database/ TextFiles/Web
- Exporting Data
- Changing External Data Range
====================================================
Module 4
SQL
Introduction of SQL
SQL Statements
- DDL
- DML
- DQL
- DCL
SQL CONSTRINTS
- UNIQUE
- PRIMARY KEY
- NULL
- NOT NULL
- CHECK
- DEFAULT
- FOREIGN KEY
SQL OPERTORS
- AND
- OR
- LIKE
- IN
- BETWEEN
- IS
SQL FUNCTIONS
- MIN()
- MAX()
- COUNT()
- SUM()
- AVG()
- LENGTH()
- REVERSE()
- REPLACE()
- INSTR()
- SUBSTR()
- TRIM()
- ROUND()
- ABS()
- SQRT()
- MOD()
SQL CLAUSE
- WHERE
- GROUP BY
- ORDER BY
- HAVING
SUB QUERIS
JOINS
- inner join
- outer join
- left join
- right join
====================================================
Module 5
TABLEAU
Understanding Data
- What is data Where to find data
- Foundations for building Data Visualizations
Creating Your First visualization
- Getting started with Tableau Software Using Data file formats
- Connecting your Data to Tableau
- Creating basic charts(line,bar charts,Tree maps) Using the Show me panel
Tableau Calculations
- Overview of SUM, AVR, and Aggregate features
- Creating custom calculations and fields
- Applying new data calculations to your visualization
Formatting
- Visualizations
- Formatting Tools and Menus
- Formatting specific parts of the view
- Editing and Formatting Axes
Manipulating Data in Tableau
- Cleaning- up the data with the Data Interpreter Structuring your data
- Sorting and filtering Tableau data
- Pivoting Tableau data
Advanced Visualization Tools
- Using Filters
- Using the Detail panel Using the Size panels Customizing filters
- Using and Customizing tooltips Formatting your data with colors
Creating Dashboards & Stories
- Using Storytelling
- Creating your first dashboard and Story Design for different displays
- Adding interactivity to your Dashboard
Distributing & Publishing Your Visualization
- Tableau file types
- Publishing toTableau
- Online Sharing your visualization Printing and exporting
====================================================
Module 6
POWER BI
Power BI Introduction
- Data Visualization,Reporting
- Business Intelligence(BI),Traditional BI,Self-Serviced BI
- Cloud Based BI,On Premise BI
- Power BI Products
- Power BI Desktop(Power Query,Power Pivot,Power View)
- Flow of Working PowerBI Desktop
- PowerBI Report Server,PowerBI Service,PowerBI Mobile Flowof Working PowerBI/PowerBI Architecture
- A Brief History of PowerBI
- Data Transformation,Benefits of Data Transformation
- Shape or Transform Data using Power Query
Power Query
- Overview of Power Query/Query Editor, Query Editor User Interface The
- Ribbon(Home,Transform, Add Column,View Tabs)
- The Queries Pane,The Data View/Results Pane,The Query Settings Pane,Formula Bar
- Saving the Work
- Datatypes,Changing the Data type of a Column Filter in Power Query
- Auto Filter/Basic Filtering
- Filter a Column using Text Filters
- Filter a Column using Number Filters
- Filter a Column using Date Filters
- Filter Multiple Columns
- Remove Columns/Remove Other Columns
- Name/Rename a Column
- Reorder Columns or Sort Columns
- Add Column/Custom Column Split
- Columns
- Merge Columns
- PIVOT,UNPIVOT Columns
- Transpose Columns
- Header Row or Use First Row as Headers
- Keep Top Rows,Keep Bottom Rows Keep
- Range of Rows
- Keep Duplicates,Keep Errors
- Remove Top Rows, Remove Bottom Rows,Remove Alternative Rows
- Remove Duplicates,Remove Blank Rows,Remove Errors
- Group Rows/Group By
Visualizations
-
- Visualizing Data,Why Visualizations
- Visualization types,Create and Format Bar and Column Charts
- Create and Format Stacked Bar Chart Stacked Column Chart Create
- and Format Clustered Bar Chart,Clustered Column Chart
- Create and Format 100% Stacked Bar Chart,100% Stacked Column Chart Createand
- Format Pie and Donut Charts
- Create and Format Scatter Charts
- Create and Format Table Visual,Matrix Visualization
- Line and Area Charts
- Create and Format Line Chart,Area Chart,Stacked Area Chart
- Combo Charts
- Create and Format Line and Stacked Column Chart,Line and Clustered Column Chart
- Create and Format Ribbon Chart,Waterfall Chart,Funnel Chart
PowerBI Service
- PowerBI Service Introduction,PowerBI Cloud Architecture
- Creating PowerBI Service Account, SIGN IN to PowerBI Service Account
- Publishing Reports to the PowerBI service,Import/Getting the Report to PBI Service My
- Workspace/App Workspaces Tabs
- DATASETS,WORKBOOKS,REPORTS,DASHBOARDS
- Working with Datasets,Creating Reports in Cloud using Published Datasets
Creating Dashboards
- P in Visuals and Pin LIVE Report Pages to Dashboard
- Advantages of Dashboards
- Interacting with Dashboards
- Formatting Dashboard
- Sharing Dashboard
====================================================
Module 7
Mathmatics
- Calculus
- Vector Algebra
- Matrices Algebra
- Introduction to Statistics
- Descriptive Statistics
- Inferential Statistics
- Probability Theory
- Random Variables
- Discrete & Continuous Distribution
- Joint Distribution
- Central Limit Theorem
- Hypothesis Testing
- Statistics Interview Questions
====================================================
Module 8
Machine Learning
- Introduction to ML
- Supervised and Unsupervised Machine Learning
- Linear Regression & Linear Regression Implementation
- Bias Variance Tradeoff
- Cross Validation and Hyper Parameter Tuning
- Logistic Regression
- Naive Bayes Classifier
- Support Vector Machine
- Principal Component Analysis
- User-Based Collaborative Filtering
- Item-Based Collaborative Filtering
- Finding Movie Similarities
- Improving the Results of Movie Similarities
- Making Movie Recommendations to People
- Improve the recommender’s results
- Machine Learning Interview Questions
====================================================
Module 9
Artificial Intelligence (AI)
- Decision Trees and Ensembles of Decision Trees
- K-Nearest Neighbours
- K-Means Clustering
- Introduction to Natural Language Processing
- Artificial Intelligence in Healthcare
- Artificial Intelligence in Fraud Risk Analytics
- Artificial Intelligence in Healthcare
- Artificial Intelligence Interview Questions
====================================================
Project: Project will be given as per latest topic.
Have a great career ahead…!!
- + Certification
-
Once you master your chosen program at Yess Infotech, you’ll walk away with a valuable certification!
- + Why Yess Infotech
-
- Why Choose Yess InfoTech?
Yess InfoTech offers a comprehensive approach to IT education and career development. Here’s why you should choose them:Optimal Learning Environment
Study Room: A dedicated space for focused learning.
Computer Equipped Lab: Hands-on practice with the latest technology.Expert Guidance
Experienced Trainers: Industry professionals sharing real-world knowledge.
Career Coach Sandip Sir: 8+ years of MNC experience providing valuable career guidance.
Personality Development Trainer: Enhancing soft skills essential for professional success.Comprehensive Support
Dedicated Placement Team: Assisting with job search and interview preparation.
Placement Record of 12 LPA: Demonstrating successful career outcomes.
Notes Availability: Additional resources for effective learning.
Recorded Sessions on Trechto App: Flexibility to review lessons at your convenience.
In essence, Yess InfoTech provides a holistic learning experience that equips students with the necessary technical skills, soft skills, and career support to excel in the IT industry.By combining a conducive learning environment, expert faculty, and a strong focus on career development, Yess InfoTech sets itself apart as a preferred choice for aspiring IT professionals.
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- Why Choose Yess InfoTech?
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- + Trainer Profile
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Trainer is having 15 year experience in Data Science with 10 years in Data Science Machine Learning and AI. It has been 15 years now that he has been working extensively in the top level Software company. He is having different kind of certifications in DS. He also have done corporate sessions and seminars both in India and abroad. Recently he was engaged by Yess InfoTech for sessions and professional motivator for working processionals to achieve their day to day targets.
All trainers at our organization are currently working on the technologies in reputed organization. The curriculum is not just some theory or some PPTs. We have all practical sessions and that to we ask our student to implement the same in the session only. We provide notes for the same. We use simple easy language and the contents are well absorbed by the candidates. The always give assignment. Also that the faculties are industry experienced so we give real time projects and practice. We also provide recorded sessions but that will be costing differently. Also we provide result oriented training.
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Testimonial
It was great learning at Yess InfoTech. I have attended python Course under the guidance of very good trainer. He started from the very basic and covered and shared everything he knew about python . It’s not only about learning but he makes learning interesting and fun as well. It was a great experience. Worth the time and money too.