Data Analytics

Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.



  • Correlation
  • Linear Regression
  • Non Linear Regression
  • Predictive time series forecasting
  • K means clustering
  • P value
  • Find outlier
  • Neural Network
  • Error Measure


Tableue Introduction

  •  Tableue Architecture
  •  The Tableue Interface
  •  Distributing and Publishing

Tableue Pre Builder

  •  The Input Step
  •  The Cleaning Step
  •  Group and Replace
  •  The Profile Pane
  •  The Pivot Step
  •  The Aggregate Step
  •  The Join Step
  •  The Union Step

Connecting to Data

  •  Getting Started with Data
  •  Managing Metadata
  •  Saving and Publishing Data Sources
  •  Data Prep with Text and Excel Files
  •  Join Types with Union
  •  Cross-database Joins
  •  Data Blending
  •  Connecting to PDFs

Visual Analytics

  •  Getting Started with Visual Analytics
  •  Drill Down and Hierarchies
  •  Sorting
  •  Grouping
  •  Creating Sets
  •  Set Actions
  •  Ways to Filter
  •  Using the Filter Shelf
  •  Interactive Filters
  •  Parameters
  •  Formatting
  •  Basic Tooltips & Viz in Tooltip
  •  Trend Lines
  •  Reference Lines
  •  Forecasting
  •  Clustering

Dashboards and Stories

  •  Getting Started with Dashboards and Stories
  •  Building a Dashboard
  •  Dashboard Objects
  •  Dashboard Formatting
  •  Dashboard Interactivity Using Actions
  •  Dashboard Extensions
  •  Story Point


  •  Getting Started with Mapping
  •  Maps in Tableau
  •  Editing Unrecognized Locations
  •  Spatial Files
  •  The Density Mark Type (Heat maps
  •  Expanding Tableau's Mapping Capabilities
  •  Custom Geocoding
  •  Polygon Maps
  •  Mapbox Integration


  •  Getting Started with Calculations
  •  Calculation Syntax
  •  Introduction to LOD Expressions
  •  Intro to Table Calculations
  •  Modifying Table Calculations
  •  Aggregate Calculations
  •  Date Calculations
  •  Logic Calculations
  •  String Calculations
  •  Number Calculations
  • Type Calculations
  •  Conceptual Topics with LOD Expressions
  •  Aggregation and Replication with LOD Expressions
  •  Nested LOD Expressions
  •  How to Integrate R and Tableau
  •  Using R within Tableau

Why Tableue is doing it

  •  Understanding Pill Types
  •  Measure Names and Measure Values
  •  Aggregation, Granularity, and Ratio Calculations
  •  When to Blend and When to Join
  •  One-to-many relationships
  •  Joins inflating the number of rows
  •  Filtering for Top Across Panes

How to

  •  Using a Parameter to Change Fields
  •  Finding the Second Purchase Date with LOD Expressions
  •  Cleaning Data by Bulk Re-aliasing
  •  Bollinger Bands
  •  Bump Charts
  •  Control Charts
  •  Funnel Charts
  •  Step and Jump Lines
  •  Pareto Charts
  •  Waterfall Charts

1: Introduction To Python

  • Installation and Working with Python
  • Understanding Python variables
  • Python basic Operators
  • Understanding python blocks

2: Python Data Types

  • Declaring and using Numeric data types: int, float, complex
  • Using string data type and string operations
  • Defining list and list slicing
  • Use of Tuple, Set, Dictionary data type

3: Python Program Flow Control

  • Conditional blocks using if, else and elif
  • Simple for loops in python
  • For loop using ranges, string, list and dictionaries
  • Use of while loops in python
  • Loop manipulation using pass, continue, break and else
  • Programming using Python conditional and loops block

4: Python Functions, Modules and Packages

  • Organizing python codes using functions
  • Organizing python projects into modules
  • Importing own module as well as external modules
  • Understanding Packages
  • Powerful Lamda function in python
  • Programming using functions, modules and external packages

5: Python String, List and Dictionary Manipulations

  • Building blocks of python programs
  • Understanding string in build methods
  • List manipulation using in build methods
  • Dictionary manipulation
  • Programming using string, list and dictionary in build function

6: Python File Operation

  • Reading config files in python
  • Writing log files in python
  • Understanding read functions, read(), readline() and readlines()
  • Understanding write functions, write() and writelines()
  • Manipulating file pointer using seek
  • Programming using file operations

7: Python Object Oriented Programming – Oops

  • Concept of class, object and instances
  • Constructor, class attributes and destructors
  • Real time use of class in live projects
  • Inheritance, overlapping and overloading operators
  • Adding and retrieving dynamic attributes of classes
  • Programming using Oops support

8: Python Exception Handling

  • try….except…else
  • try-finally clause
  • Avoiding code break using exception handling
  • Safe guarding file operation using exception handling
  • Handling and helping developer with error code
  • Programming using Exception handling

Frequently Asked Questions

#1 Why should I learn this course from ANJANA INFOTECH?

  • - Individual Attention.
  • - 100% placement assistance.
  • - Experienced faculties.
  • - Liberal fees structure.
  • - We are following Globally accepted syllabus.

#2 Is online Software Development and Software Testing courses training available in ANJANA INFOTECH Technologies?

  • - Both classroom and online Software Development and Software Testing courses training are available at ANJANA INFOTECH Technologies Training Centre Tamilnadu and Trivandrum.

#3 How about the placement assistance in ANJANA INFOTECH?

  • - Almost every student who is studying here are getting placed.
  • - We are having so many client companies at infopark and technopark.
  • - We offers grooming section for our students with our experts for getting idea on how to attend an interview.
Contact Us

Why Should You Prefer Us?

Expertise Level

ANJANA INFOTECH offers training from Beginners level to Experts level.

Course Duration
3 months

Course will be 2 to 3 months duration with live projects and sample models.

Total Learners
21000 Learners

We have already finished 1000+ Batches with 100% course completion record.

24 / 7 Support

We are having 24/7 Support team to clear students needs and doubts.