DATA ANALYTICS USING PYTHON

DATA ANALYTICS USING PYTHON TRAINING IN NOIDA | DATA ANALYTICS WITH PYTHON

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Are you Looking for the Best Institute for Data Analytics using Python training in Noida?

DUCAT offers Data Analytics using Python training classes with live projects by expert trainers in Noida.

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Why learn Data Analytics using Python?

It's continued to be a great option for data scientists who use it for building Machine learning applications or using them and other scientific computations.

Data Analytics Using Python Training in Noida cuts development time in half with its simple-to-read syntax and easy compilation feature with the easy-to-learn concept.

Debugging any type of program is a breeze in this language with its built-in debugger.

It runs on every famous type of platform like Windows, Linux/Unix, and Mac OS and has been ported to Java and .NET virtual machines.

Python is free to use language, even for commercial products, because of its OSI-approved open-source license, so anyone can use it for free.

It has been opted as the most preferred Language for Data Analytics and the increasing search trends on Python every day also indicates that it is the "Next Big Thing" and a must for aspirants in the Data Analytics field.

Analytics Training Institute

Introduction

The capacity to extract actionable insights from enormous amounts of data has become essential for businesses across industries in today's data-driven environment.

This growing demand for skilled data analysts and professionals has led numerous analytics training institutes to emerge.

One such institute that stands out is Ducat, The IT Training School, known for its comprehensive and industry-focused analytics programs.

The vast range of courses offered by Analytics Training Institute is created to give students the knowledge and skills they need to succeed in data analytics.

The institute addresses various issues, from fundamental ideas to cutting-edge methods, including data visualization, statistical analysis, machine learning, predictive modeling, and more.

The curriculum is carefully crafted to meet the evolving industry demands and ensure learners are well-prepared to tackle real-world analytics challenges.

There are many different analytics training institutes available, but not all of them are almost created equal.

Ducat, The IT Training School, is one of India's leading analytics training institutes, having a physical presence in Delhi, Noida, Gurgaon and Ghaziabad.

The institute's extensive curriculum covers all of the fundamental competencies needed for a career in analytics.

Analytics Training Importance

Ducat's analytics training program is designed to help you develop the skills you need to succeed in the real world.
The program includes hands-on training with real-world data sets so that you can apply your skills to real-world problems.
In addition to the technical skills, Ducat also teaches you the soft skills essential for success in analytics. These skills include communication, teamwork, and problem-solving.
Ducat's analytics training program is also highly practical. The program includes a capstone project, where you can apply your skills to a real-world problem.
You will have the opportunity to show potential employers your talents through this project.
Additionally, Ducat helps its learners find jobs.
The institute has a strong network of corporate partners who are always looking for talented data analysts and scientists.
With the help of Ducat, you can be confident that you can find a job after completing the program.

If you are serious about a career in analytics, I encourage you to be admitted to Ducat IT Training School.

The institute's comprehensive curriculum, hands-on training, and placement assistance will give you the skills and knowledge you need to succeed in this exciting field.

Benefits of training from Ducat

Here are some of the benefits of taking an analytics course at Ducat The IT Training School:

You will learn from Industry-experienced and qualified instructors who are experts in their respective fields.
You will have use of the updated tools and numerous applications.
Networking opportunities with academic and professional peers are available.
You will receive an Industry recognized course completion certificate.

Why To Enroll In Our Data Analytics Using Python Training Course in Noida?

We Focus on Innovative ideas, High-quality Training, Smart Classes, 100% job assistance, and Opening the doors of opportunities.

Our Data Analytics using Python Trainees are working across the nation. We at Ducat India, No#1 Data Analytics using Python Course in Noida with 100% Placement.

Certified Trainers with Over 10,000 Students Trained in Data Analytics using Python Course in Noida.

What Our Students Will Get During Data Analytics using Python Training Course?

Get dedicated student support, career services, industry expert mentors, and real-world projects. Career Counselling. Timely Doubt Resolution. 50% Salary Hike, Career Counselling Case Studies + Tools + Certificate.

Why Ducat?

Ducat has a dedicated team of highly expert trainers to identify, evaluate, implement, and provide the Best Data Analytics Using Python Training Institute in Noida for our students.

Our Trainers leverage a defined methodology that helps identify opportunities, develop the most optimal resolution and maturely execute the solution.

We have the best trainers across the world to provide Best Data Analytics Using Python Training in Noida who are highly qualified and are the best in their field.

The Training & Placement cell is committed to providing all attainable help to the students in their efforts to seek out employment and internships in every field.

The placement department works beside alternative departments as a team in molding the scholars to the necessities of varied industries.

We got proactive and business-clued-in Placement Cells that pride themselves on a robust skilled network across numerous sectors.

It actively coordinates with every student and ensures that they get placed with purported MNCs within six months of graduating. We are the Best Data Analytics Using Python Training Institute in Noida.

Introduction To Python

Why Python
Application areas of python
Python implementations
Cpython
Jython
Ironpython
Pypy
Python versions
Installing python
Python interpreter architecture
Python byte code compiler
Python virtual machine(pvm)

Writing and Executing First Python Program

Using interactive mode
Using script mode
General text editor and command window
Idle editor and idle shell
Understanding print() function
How to compile python program explicitly

Python Language Fundamentals

Character set
Keywords
Comments
Variables
Literals
Operators
Reading input from console
Parsing string to int, float

Python Conditional Statements

If statement
If else statement
If elif statement
If elif else statement
Nested if statement

Looping Statements

While loop
For loop
Nested loops
Pass, break and continue keywords

Standard Data Types

Int, float, complex, bool, nonetype
Str, list, tuple, range
Dict, set, frozenset

String Handling

What is string
String representations
Unicode string
String functions, methods
String indexing and slicing
String formatting

Python List

Creating and accessing lists
Indexing and slicing lists
List methods
Nested lists
List comprehension

Python Tuple

Creating tuple
Accessing tuple
Immutability of tuple

Python Set

How to create a set
Iteration over sets
Python set methods
Python frozenset

Python Dictionary

Creating a dictionary
Dictionary methods
Accessing values from dictionary
Updating dictionary
Iterating dictionary
Dictionary comprehension

Python Functions

Defining a function
Calling a function
Types of functions
Function arguments
Positional arguments, keyword arguments
Default arguments, non-default arguments
Arbitrary arguments, keyword arbitrary arguments
Function return statement
Nested function
Function as argument
Function as return statement
Decorator function
Closure
Map(), filter(), reduce(), any() functions
Anonymous or lambda function

Modules & Packages

Why modules
Script v/s module
Importing module
Standard v/s third party modules
Why packages
Understanding pip utility

File I/O

Introduction to file handling
File modes
Functions and methods related to file handling
Understanding with block

Regular Expressions(Regex)

Need of regular expressions
Re module
Functions /methods related to regex
Meta characters & special sequences

SQL

Introduction to Database

Database Concepts
What is Database Package?
Understanding Data Storage
Relational Database (RDBMS) Concept

SQL (Structured Query Language)

SQL basics
DML, DDL & DQL
DDL: create, alter, drop
SQL constraints:
Not null, unique
,
Primary & foreign key, composite key
Check, default
DML: insert, update, delete and merge
DQL : select
Select distinct
SQL where
SQL operators
SQL like
SQL order by
SQL aliases
SQL views
SQL joins
Inner join
Left (outer) join
Right (outer) join
Full (outer) join
Mysql functions
String functions
Char_length
Concat
Lowe
r
Reverse
Uppe
r
Numeric functions
Max, min, sum
Avg, count, abs
Date functions
Curdate
Curtime●
Now

Statistics, Probability &Analytics:

Introduction to Statistics

Sample or population
Measures of central tendency
Arithmetic mean
Harmonic mean
Geometric mean
Mode
Quartile
First quartile
Second quartile(median)
Third quartile
Standard deviation

Probability Distributions

Introduction to probability
Conditional probability
Normal distribution
Uniform distribution
Exponential distribution
Right & left skewed distribution
Random distribution
Central limit theorem
●

Hypothesis Testing

Normality test
Mean test
T-test
Z-test
ANOVA test
Chi square test
Correlation and covariance

Numpy Package

Difference between list and numpy array
Vector and matrix operations
Array indexing and slicing

Pandas Package

Introduction to pandas

Labeled and structured data
Series and dataframe objects

How to load datasets

From excel
From csv
From html table

Accessing data from Data Frame

at &iat
loc&iloc
head() & tail()

Exploratory Data Analysis (EDA)

describe()
groupby()
crosstab()
boolean slicing / query

Data Manipulation & Cleaning

Map(), apply()
Combining data frames
Adding/removing rows & columns
Sorting data
Handling missing values
Handling duplicacy
Handling data error

Handling Date and Time

Data Visualization using matplotlib and seaborn packages

Scatter plot, lineplot, bar plot
Histogram, pie chart,
Jointplot, pairplot, heatmap
Outlier detection using boxplot

Advanced Excel

Advanced Excel Course - Overview of the Basics of Excel

Customizing common options in Excel
Absolute and relative cells
Protecting and un-protecting worksheets and cells

- Working with Functions

Writing conditional expressions (using IF)
Using logical functions (AND, OR, NOT)
Using lookup and reference functions (VLOOKUP, HLOOKUP, MATCH, INDEX)
VlookUP with Exact Match, Approximate Match
Nested VlookUP with Exact Match
VlookUP with Tables, Dynamic Ranges
Nested VlookUP with Exact Match
Using VLookUP to consolidate Data from Multiple Sheets

Advanced Excel Course - Data Validations

Specifying a valid range of values for a cell
Specifying a list of valid values for a cell
Specifying custom validations based on formula for a cell

Advanced Excel Course - Working with Templates

Designing the structure of a template
Using templates for standardization of worksheets

Advanced Excel Course - Sorting and Filtering Data

Sorting tables
Using multiple-level sorting
Using custom sorting
Filtering data for selected view (AutoFilter)
Using advanced filter options

Advanced Excel Course - Working with Reports

Creating subtotals
Multiple-level subtotals
Creating Pivot tables
Formatting and customizing Pivot tables
Using advanced options of Pivot tables
Pivot charts
Consolidating data from multiple sheets and files using Pivot tables
Using external data sources
Using data consolidation feature to consolidate data
Show Value As ( % of Row, % of Column, Running Total, Compare with Specific Field)
Viewing Subtotal under Pivot
Creating Slicers ( Version 2010 & Above)

Advanced Excel Course - More Functions

Date and time functions
Text functions
Database functions
Power Functions (CountIf, CountIFS, SumIF, SumIfS)

Advanced Excel Course - Formatting

Using auto formatting option for worksheets
Using conditional formatting option for rows, columns and cells

Advanced Excel Course - Macros

Relative & Absolute Macros
Editing Macro's

Advanced Excel Course - WhatIf Analysis

Goal Seek
Data Tables
Scenario Manager

Advanced Excel Course - Charts

Using Charts
Formatting Charts
Using 3D Graphs
Using Bar and Line Chart together
Using Secondary Axis in Graphs
Sharing Charts with PowerPoint / MS Word, Dynamically
(Data Modified in Excel, Chart would automatically get updated)

Advanced Excel Course - New Features Of Excel

Sparklines, Inline Charts, data Charts
Overview of all the new features

Advanced Excel Course - Final Assignment

The Final Assignment would test contains questions to be solved at the end of the Course

VBA (VISUAL BASIC FOR APPLICATION) & MACROS

Create a Macro:

Swap Values, Run Code from a Module, Macro Recorder, Use Relative References,
FormulaR1C1, Add a Macro to the Toolbar, Macro Security, Protect Macro.

MsgBox:

MsgBox Function, Input Box Function.

Workbook and Worksheet Object:

Path and Full Name, Close and Open, Loop through Books and Sheets, Sales Calculator, Files in a Directory, Import Sheets, Programming Charts.

Range Object:

Current Region, Dynamic Range, Resize, Entire Rows and Columns, Offset, From Active Cell to Last Entry, Union and Intersect, Test a Selection, Possible Football Matches, Font, Background Colors, Areas Collection, Compare Ranges.

Variables:

Option Explicit, Variable Scope, Life of Variables.

If Then Statement:

Logical Operators, Select Case, Tax Rates, Mod Operator, Prime Number Checker, Find Second Highest Value, Sum by Color, Delete Blank Cells.

Loop:

Loop through Defined Range, Loop through Entire Column, Do Until Loop, Step Keyword, Create a Pattern, Sort Numbers, Randomly Sort Data, Remove Duplicates, Complex Calculations, Knapsack Problem.

Macro Errors:

Debugging, Error Handling, Err Object, Interrupt a Macro, Macro Comments.

String Manipulation:

Separate Strings, Reverse Strings, Convert to Proper Case, Count Words.

Date and Time:

Compare Dates and Times, DateDif Function, Weekdays, Delay a Macro, Year Occurrences, Tasks on Schedule, Sort Birthdays.

Events:

Before DoubleClick Event, Highlight Active Cell, Create a Footer Before Printing, Bills and Coins, Rolling Average Table
.

Array:

Dynamic Array, Array Function, Month Names, Size of an Array.

Function and Sub:

User Defined Function, Custom Average Function, Volatile Functions, ByRef and ByVal.

Application Object:

Status Bar, Read Data from Text File, Write Data to Text File.

ActiveX Controls:

Text Box, List Box, Combo Box, Check Box, Option Buttons, Spin Button, Loan Calculator.

User form:

User form and Ranges, Currency Converter, Progress Indicator, Multiple List Box Selections, Multicolumn Combo Box, Dependent Combo Boxes, Loop through Controls, Controls Collection, User form with Multiple Pages, Interactive User form

Tableau

Tableau - Home

Tableau - overview
Tableau - environment setup
Tableau - get started
Tableau - navigation
Tableau - design flow
Tableau - file types
Tableau - data types
Tableau - show me
Tableau - data terminology

Tableau - Data Sources

Tableau - custom data view
Tableau - data sources
Tableau - extracting data
Tableau - fields operations
Tableau - editing metadata
Tableau - data joining
Tableau - data blending

Tableau – Work Sheet

Tableau - add worksheets
Tableau - rename worksheet
Tableau - save & delete worksheet
Tableau - reorder worksheet
Tableau - paged workbook

Tableau – Calculation

Tableau - operators
Tableau - functions
Tableau - numeric calculations
Tableau - string calculations
Tableau - date calculations
Tableau - table calculations
Tableau - lod expressions

Tableau – Sorting & Filter

Tableau - basic sorting
Tableau - basic filters
Tableau - quick filters
Tableau - context filters
Tableau - condition filters
Tableau - top filters
Tableau - filter operations

Tableau - Charts

Tableau - bar chart
Tableau - line chart
Tableau – pie chart
Tableau - crosstab
Tableau - scatter plot
Tableau - bubble chart
Tableau - bullet graph
Tableau - box plot
Tableau - tree map
Tableau - bump chart
Tableau - gantt chart
Tableau - histogram
Tableau - motion charts
Tableau - waterfall charts
Tableau - dashboard