Branch - 100 Feet Road  Hopes  Kuniyamuthur

Branch - 100 Feet Road  Hopes  Kuniyamuthur

DATA ANALYTICS

What you'll learn

Learning Objectives

Course content

  • Installation and Setting up path
    Features
  • Python variables
  • Input & Output and Import
  • Why Learn Python
  • Who used Python

Using Pycharm & Scripting Keywords & Identifiers Operators, Indentations

Basic Data types: int, float, string, Boolean and Complex Numbers and String Tuple and List Dictionary and Set Arrays

String, String slices Date Math Random and Statistics PDF Data Extraction CVS module

Introduction to Tuples Working with Tuples Tuple Operations Function and Methods

Introduction to Lists Working with lists Lists Operations Function and Methods

Introduction to Sets Working with Sets Sets Operations Function and Methods

If…else Elif For, for else, while Break and Continue Pass Looping Techniques

Types of Functions Function Arguments Recursion Anonymous Function Global, local and Nonlocal Lambda Functions Modules Packages

Reading & Writing Files Manipulating File Pointer Type of Files File Operations Directories File I/O Attributes, File Methods

Try, Except and Finally Try else Custom Exception Error Vs. Exception

Real-time in OOPS Access Specifiers Class and Objects Methods Overloading and Overriding Inheritance Abstraction and Data Hiding Properties &Self-keyword

OS module Environment variables, Paths, directories, and filenames. Working with file systems, Dates and times

Starting a New Thread Creating Thread Using Threading Module Synchronizing Threads Multithreaded Priority Queue

pattern matching and searching Real time parsing of networking or system data using regex validation Concepts

Web Scraping Chabot & Language Translate Find the Similarity ratio between text Tagging Sentence to find key word Google map integration Bubble sort algorithm QR code generator Spell checker Scraping Wikipedia Anagram & Screenshot app,Python for networking Getting input from user Working with images & building a photo gallery

Numpy Introduction, Numpy Arrays, Data Types in Numpy, Array Indexing, Array Slicing, Array Shape, Array Reshape, Array Iteration, Array Join, Array Split, Array Search & Sorting, Array Filter
Introduction Pandas, Series Pandas, Data Frames, Pandas Read CSV & JSON, Pandas Analyzing Data, Data Cleaning
Introduction, Pyplot Plotting, Markers, Line Labels, Grid, Subplot, Scatter Plot, Bar Chart, Histogram, Pie Chart
FORMULAS & FUNCTIONS, Aggregate Function, Logical Function, Lookup & References, Financial Functions, Formatting and Proofing
Conditional Formatting using New Rule Conditional Formatting using Formula
Creating Simple Pivot Tables, Classic Pivot table Basic and Advanced Value Field Setting, Calculated Field & Calculated Items, Grouping based on numbers and Dates
Activating Power pivot Usage of Data model DAX Calculation Relational Data
Using SLICERS, Filter data with Slicers Various Charts i.e. Bar Charts/Pie Charts/Line Charts Manage Primary and Secondary Axis
Number, Date & Time Validation Text and List Validation Custom Validation Dropdown List Validation.
Creating Scenarios, Working with Data Tables, Using Goal Seek, Using Solver, Using Consolidating Data by Position or Category, Consolidating Data Using Formulas Excel
Macro Builder, Create a standalone macro, Create an embedded macro, Add actions to a macro, Control program flow with If, Else If, and Else, Create sub macros, Group related actions together, Expand and collapse macro actions or blocks, Copy and paste macro actions, Share a macro with others
Get started with database, SQL and MySQL What is database? Why use SQL? Importance of MySQL
First Steps in SQL, Creating a database, Introduction to data types, Creating a table
Get acquainted with the interface
DDL DCL DML TCL
Relational Database essentials, Primary key, Foreign key, Unique key and null values
Load the database, Loading employees’ database, Starting with SELECT statement, Select-From Where And-Or (In-not in) Like-not like, Wildcard characters Between-and Is not null-is null, Select distinct, Aggregate statement, Order by-Group by Using Aliases, Having and Limit
Insert statement, Inserting data INTO table, Update statement, Commit and rollback, Delete statement, Drop vs Truncate, AGGREGATE FUNCTIONS, Functions Count Sum Min() and Max Avg Round()
What is Power BI, Why we have to use?
Components
Data Sources : Excel, SQL, CSV, JSON, Access
Power BI vs Tableau
Using Data Modeling and Navigation, Creating Calculated, Columns, Creating Calculated Tables, Managing Time-Based Data
Exploring Different Datasets, Creating and Sharing Dashboards, Tiles in Dashboard, Data Gateway
Creating Simple Visualizations, Creating Map Visualizations, Using Combination Charts, Using Tables, Modify Colors in Charts, Adding Shapes, Images and Text box, Styling Reports, Duplicating Reports
Using Excel Data Importing xlsx Files
Using Power BI Desktop for Report Sharing, Printing Power BI Dashboards, Export Options, Publishing Report to Web, Using & Editing Content Pack
DAX Architecture, Entity Sets DAX Data Types, Syntax Rules DAX Measures and Calculation Data Modeling Options in DAX
Purchasing REST API Security
BI Concepts What is TABLEAU? Why Data Visualization? Unique Features compared to Traditional BI Tools TABLEAU Overview & Architecture File Types & Extensions
Data Connections in the Tableau Interface, Connecting to Tableau, Data Server, Types of Join, When to Use Joining, What is Data Blending, When to Use Data Blending, Joining vs. Blending, Creating Data Extracts in Tableau, Shadow Extracts, Prepare your Data for Analysis
Filters. Applying Filters Quick Filters Sorting of Data Creating Combined Fields Creating Groups and Defining Aliases Working with Sets and Combined Sets Drill to Other Levels in a Hierarchy Grand totals and Subtotals Tableau Bins Fixed Sized Bins Variable Sized Bins Creating and using Parameters Exploring Parameter Controls Using parameters for titles, field selections, logic statements, Top X Cross Tabs [Pivot Tables] Page Trials Total and Sub-Total
Working with Combined Axis Working with Combination Charts Working with Geocoding and Geographic Mapping Using Scatter Plots Using Text tables and Highlight tables Using Heat Maps Using Histograms Using Pie Charts Using Bullet Charts
Using Pareto Charts Using Waterfall Charts Using Gantt Charts Using Box Plots Using Sparkline Charts Using Density Charts Using KPI Charts Small Multiples Working with aggregate versus disaggregate data What is Market Basket Analysis Performing Market Basket Analysis
Formatting Options in Formatting Visualizations Working with Labels and Annotations Effective Use of Titles and Captions Introduction to Visual Best Practices
Importing and Modifying Custom Geocoding Working with Symbol Map and Filled Map Using Background Image Exploring Geographic Search Perform Pan Zoom Lasso and Radial Selection Working with WMS Server Maps [Web Map Service]
Add Reference Lines Bands and Distribution Adding Reference Lines Adding Reference Bands Adding Reference Distribution Working Reference Lines Bands and Forecasting Trend lines and Trend Models
Build Interactive Dashboards Best practices for creating effective dashboards Creating a Dashboard and Importing Sheets Interaction Exploring Dashboard Actions Use of Running Actions & Dashboard Actions How to Share your Reports & Exporting your Work

Description

Become a Skilled Data Analyst with Industry-Leading Tools. This program provides comprehensive training in data analytics, from fundamentals to advanced techniques. Learn to work with data visualization, statistical analysis, and machine learning using industry-standard tools. Gain hands-on experience in handling real-world data, uncovering insights, and making data-driven decisions. Enhance your expertise and improve your career prospects in the growing field of data analytics.

Mapped Certificate

Google Flutter Certification

via Google Developer's Certification Program

MongoDB University

For Flutter + Firebase integration

Lectures

18 Modules with Certificates

Duration

3.5 Months

Language

English, Tamil

Mode

Online, Offline

Learn Smarter, Not Hearder

Enjoyable Learning
Experience Awiat You

Our courses are taught by experienced professionals and subject matter experts who are passionate.

10,000

Daily Active Users

60%

Courses Enrollment Rate

4.7

Ratings

by 12 Learners

Frequently Asked Questions

Got Questions? We've Got Answers!

What is the Python course?
Python course will empower learners to build dynamic applications by mastering syntax, data structures, and object-oriented programming. With its vast ecosystem of libraries and frameworks, Python is essential for web development, data science, automation, and AI — making it a must-have skill for future-ready developers.

Lets find your Perfect online courses today!

Empower Yourself with Expert-Lead Learning Anytime, Anywhere

Scroll to Top

Enroll Now