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About Data Analysis
Data Analytics for Smarter Growth
Data analysis is key to transforming raw information into clear, actionable insights. By using accurate, validated data and scalable tools, organizations can unlock patterns, trends, and opportunities—fast. With advanced features like predictive analytics and machine learning, it delivers real-time insights that drive smarter strategies and better outcomes.
Today’s data analysis tools are built for everyone—technical teams and business users alike. They connect effortlessly with various data sources, offering intuitive dashboards and a real-time view of performance. In a fast-moving, data-driven world, data analysis gives businesses the power to innovate, adapt, and stay ahead of the competition.
- Insight-Driven Strategies
- Advanced Analytical Techniques
- Real-Time Data Access
- Seamless Data Integration
- User-Friendly Dashboards
- Scalable Analytics Solutions
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Why Choose Tironation
Week 1
- Defining Python
- History of Python & its growing Popularity
- Feature of Python & its wide Functionality
- Python 2 vs Python 3
- Setting up Python
- Environment for Development
- What and How of Python Installation?
- IDEs: IDLE, Pycharm,Jupyter
- Writing first Python Program
- Python Scripts on UNIX and Windows
Week 2
- Installation on Ubuntu based Machine
- Programming on Interactive Shell
- Python Identifier & Key words
- Indentation in Python
- Comments & writing to the screen
- Command Line Arguments & Flow Control
- User Input
- Python Core Objects
- Defining Built in Function
- Objectives
Week 3
- Variables & there types
- Variables,String ,Numeric,Boolean
- Boolean Objects & None Objects
- Tuple objects & Operations
- Dictionary Objects & Operations
- Types Of Variables : Dictionary
- Comparison of Variables
- Dictionary Methods & Manipulation
- Operatiors & Logical Operators
- Data Structure & Data Processing
Week 4
- Arithmetic operations on Numeric Values
- Operators & Keyword Sequence
- Understanding Conditional Statements
- Break Statements & Continue Statements
- Using Indentation for defining if & else
- Loops in Python
- While , Nested & Demo Create
- How to control Loops ?
- Sequence & Iterable Objects
Week 5
- Data Visualization and Matplotlib, seaborn
- Python Libraries
- Features of Matplotlib
- Line Properties Plot with (x, y)
- Set Axis, Labels, and Legend Properties
- Alpha and Annotation
- Univariate plots
- Bivariate plots
- Multivariate plots
- Interpretations
Week 1
- Objective Of Function
- Types Of Functions
- Creating UDF Functions
- Functions Parameters
- Unnamed & Named Parameters
- Creating & Calling Functions
- Python User defining Function
- Python Package Functions
- Anonymous Lambda Function
- Understanding String Objects Functions
Week 2
- List & Tuple Objects Function
- Studying Dictionary Objects Function
- Defining Python Inbuilt Modules
- Studying types of Modules
- OS, sys, time, random, datetime, zip, modules
- How to create python user defined modules ?
- Understand Python Path
- Creating Python Package
- Init File and Package Initilization
- What and How file handling with Python ?
Week 3
- How to process text files with Python?
- Read/ Write and append file objects
- Test Operations : os.path
- Overview of Object Orientated Programming
- Defining Classes, Objects and Initializers
- Attributes: Buit in class
- Destroying Objects
- Methods – Instance, Class, Static, Private methods, and
Inheritance - Data Hiding / Python Exception Handling
- Modules Alises and Reloading Modules
Week 4
- Standard Exception Hierarchy
- Except …. else
- finally ….. Clauses
- Creating Self : Exception Class
- User defined Exception
- Debugging errors : Unit test
- Projects Skeleton
- Creating and Using the Skeleton
- How to use pdb debugger?
- Using Pycharm Debugger
Week 5
- Asserting Statement for Debugging
- Understanding Regular Expressions
- Match, Search Function, and the Comparision
- Compile and Match, Match and Search
- Search and Replace
- What and How of Extended Regular Expressions?
- Wildcard Characters
Week 1
- Creating Database, using Database
- Creating Tables, inserting Values in the Table
- Select Query where clauses
- And, Or, Not Operators
- In Operators, Not In Operators
- Between & Not Between Operators
- Like Operators orders distinct Command
- Distinct Clauses
- Limit Clauses with where Clauses
Week 2
- Offset Arithmetic expression(SUM,AVG,MAX,MIN,COUNT)
- Update Functions
- Inner, Left , Right , Outer , Fuller, Cross Join
- Group By, Having clauses, Sub Query
- Advanced Sub query using with Functions
- Union And Union All
- Advanced Union & Union all with Functions
- Advanced Union & Union all using Where Clauses
- Advanced Union & Union all using Joins
Week 3
- If And Case Statements
- STRING FN & manipulation of STRINGS VALUE using String fn
- Date Function
- Date Format Functions
- Delete And Truncate
- Alter
- Creating View Advanced concept
- Procedure
Week 1
- Data Transformation
- Shape and Transform the Data
- Overview of Power Query ( Power Query Editor)
- Ribbons( Home, Transform,, Add, Column)
- The Queries Pane And the Formula Bar
- Saving Works
- Data Types
- Filtering the Column
- Filtering Text Filter
- Filtering Number Filter
Week 2
- Removing Column, Renaming Column
- Adding the Column, Merge Column, PIVOT
- Transpose, Removing Rows
- Removing Duplicates, Removing Blank Rows
- DAX, Calculated Column, Measures
- DAX Table and Column
- Creating Calculated Column & Creating Measure
- Column Vs Measures
- Arithmetic Operators
- Date Functions( Year, Day, Time, Date, DateDiff, Now)
Week 3
- Logical Function(IF ELSE,OR,AND,IN)
- Grouping The Values
- Sorting the Visuals
- Visualizing Data
- Create Chart bar and column Chart
- Creating Stack Chart, Horizontal Chart
- Clustering chart formatting cluster charts
- Pie Chart, Formatting Donut Chart
Week 4
- Line Chart, Area Chart
- Combo Chart
- LIVE Page Dashboard
- Advantage Dashboard
- Formatting Dashboard
- Interacting Dashboard
- Sharing Dashboard
Week 1
- Introduction Of Tableau
- Data Types
- Data Preprocessing
- Data Transformation
- Basic to Advanced Visualization Chart
- Reports Making in Tableau
- Alias Data Management
- Group Data Management
- Hierarchy Creation in Tableau
- Quick Filter, Admin Filter
Week 2
- Date Level Filter, Date Hieriarchy
- Include, Exclude Clauses
- Wild Card Filter
- Visual Level Filter
- Tableau Calculated Field
- Sets
- Sets using Top and Components
- Parameters
Week 3
- String Parameter
- What if Analysis
- Forecasting Model Using Tableau
- Linear Regression Model Using Tableau
- Kmean Clustering Model
Why Choose Tironation
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Why Tironation
Our Happy Students
Akshay Taralkar
Senior ManagerChoosing Tironation's IT course was the best investment in my career. The comprehensive curriculum, combined with hands-on labs and projects, allowed me to gain practical experience and develop the skills needed to excel in the fast-paced IT industry.
Pooja Kundekar
Senior ManagerI can recommend Tironation's IT course highly enough. The curriculum is up-to-date with industry trends, the instructors are passionate about what they teach, and the supportive learning environment fosters growth and innovation
Ashwini More
Senior ManagerCourse stands out for its blend of theoretical knowledge and practical application. The instructors' expertise and the hands-on projects enhanced my technical skills and how to approach problems creatively and collaboratively."
