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FREE AWS Cloud Computing Trainings.

Your gateway to a complete career transformation! πŸ‘‡πŸ‘‡

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Top 8 Leetcode Articles to identify patterns in DSA

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Data Analytics

Data analytics is the process of examining data to draw conclusions, make informed decisions, and drive business growth. It involves various techniques, tools, and methodologies to transform raw data into actionable insights.

Types of Data Analytics:

1. Descriptive Analytics (what happened)
2. Diagnostic Analytics (why it happened)
3. Predictive Analytics (what might happen)
4. Prescriptive Analytics (what should happen)

Data Analytics Applications:

1. Business Intelligence (BI)
2. Customer Relationship Management (CRM)
3. Market Research
4. Operations Optimization
5. Healthcare Analytics
6. Financial Analysis
7. Cybersecurity

Data Analytics Tools:

1. Excel
2. Tableau
3. Power BI
4. Python libraries (Pandas, NumPy, Matplotlib)
5. R programming language
6. SQL
7. Machine Learning frameworks (TensorFlow, PyTorch)

Data Analytics Techniques:

1. Data Mining
2. Statistical Modeling
3. Data Visualization
4. Regression Analysis
5. Clustering
6. Decision Trees
7. Neural Networks

Career Paths in Data Analytics:

1. Data Analyst
2. Data Scientist
3. Business Analyst
4. Data Engineer
5. Data Architect
6. Quantitative Analyst
7. Marketing Analyst

Skills Required:

1. Mathematical and statistical knowledge
2. Programming skills (Python, R, SQL)
3. Data visualization expertise
4. Communication and storytelling
5. Business acumen
6. Analytical thinking
7. Problem-solving

Would you like to explore:

1. A specific data analytics tool or technique?
2. Real-world applications or case studies?
3. Career development in data analytics?
4. Data science and machine learning?

Let me know, and I'll provide more insights.
Here's a suggested 4-day, 2-hours-per-day step-by-step plan for revising Python for data analysis:

Day 1: Python Basics and Data Structures (2 hours)

1. Review Python basics (30 minutes):
- Variables, data types, operators
- Control structures (if/else, for loops, while loops)
- Functions
2. Data Structures (45 minutes):
- Lists: indexing, slicing, methods (append, extend, sort)
- Tuples: creation, indexing, slicing
- Dictionaries: creation, key-value pairs, methods (get, items, keys)
- Sets: creation, operations (union, intersection, difference)
3. Practice exercises (45 minutes):
- LeetCode, HackerRank, or (link unavailable) exercises

Day 2: NumPy, Pandas, and Data Manipulation (2 hours)

1. NumPy (45 minutes):
- Arrays: creation, indexing, slicing, operations (basic math, aggregation)
- Array methods (reshape, transpose, concatenate)
2. Pandas (45 minutes):
- DataFrames: creation, indexing, selecting data
- Data manipulation: filtering, grouping, sorting
- Merging and joining DataFrames
3. Practice exercises (30 minutes):
- Pandas tutorials, DataCamp exercises

Day 3: Data Visualization and File Handling (2 hours)

1. Data Visualization (45 minutes):
- Matplotlib: plotting basics, customizing plots
- Seaborn: visualization library, plotting distributions
2. File Handling (45 minutes):
- Reading and writing CSV files (pandas)
- Reading and writing Excel files (pandas)
- Handling JSON files (json library)
3. Practice exercises (30 minutes):
- Visualization exercises, DataCamp projects

Day 4: Data Analysis and Machine Learning (2 hours)

1. Data Analysis (45 minutes):
- Descriptive statistics (mean, median, mode)
- Inferential statistics (hypothesis testing)
- Data correlation and regression
2. Machine Learning (45 minutes):
- Scikit-learn: introduction, basic algorithms (linear regression, decision trees)
- Model evaluation metrics (accuracy, precision, recall)
3. Practice exercises (30 minutes):
- Scikit-learn tutorials, Kaggle competitions

Additional Tips:

- Practice with real-world datasets (e.g., UCI Machine Learning Repository)
- Use Jupyter Notebooks or Google Colab for interactive coding
- Review documentation and official tutorials for each library
- Join online communities (e.g., Reddit's r/learnpython, r/dataanalysis) for support

Resources:

- w3school
- DataCamp
- Kaggle
- UCI Machine Learning Repository

Stay focused, and you'll be well-prepared for data analysis with Python!

Would you like me to suggest specific exercises or projects?

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Data Analyst Roadmap.pdf
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Data Analyst RoadmapπŸ”₯πŸ”₯πŸ”₯

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❗️Siemens Hiring Off Campus 2024❗️

Job Role: System Engineer – Freshers
Location: Gurugram
Experience: Freshers
Salary: Upto β‚Ή6 LPA

⭕️ Apply Link:
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IBM Hiring Fresher Associate Systems Software Engineer


Job Designation : Associate Systems Engineer

Salary : 5 LPA – 8 LPA

Qualification : Bachelor’s Degree

Experience : Freshers

Skill Set :
- Programming (preferably in Java, Python, Node.js) & Software Development Life Cycle Concepts
- Knowledge of Cloud and Cognitive computing
- Good knowledge in software development and Agile Methodologies.
- Basic programming skills and web development understanding.
- Passion for emerging technologies and hunger to innovate


Apply Here : https://techcompreviews.in/ibm-hiring-system-engineer/
7 Free Certification To Master in AI

1. ✳️ edX

2. ✳️ Kaggle

3. ✳️ Google AI

4. ✳️ MIT OpenCourseWare

5. ✳️ Udemy

6. ✳️ FutureLearn

7. ✳️ IBM Cognitive Class

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Accenture Hiring Freshers Software Application Developer


Job Designation : Software Application Developer

Qualification : Any Graduate

Experience : Freshers / 0 – 2 years

Skill Set :
- Good knowledge of at least one modern programming language C, C++, Java and Python etc.
- Proficient with Java Enterprise Edition and other relevant technologies.
- Sound knowledge of database management systems and SQL.
- Strong understanding of software development principles and methodologies.
- Familiarity with web development frameworks and libraries.


Apply Here : https://techcompreviews.in/accenture-hiring-application-developer/
Adani Hiring Fresher Backend Software Developer


Job Designation : Software Engineer Backend Developer

Salary : 8 LPA – 12 LPA

Qualification : Bachelor’s degree

Experience : Freshers / 0 – 2 years

Skill Set :
- Practical knowledge and understanding of web development principles, including HTTP, REST, and related protocols.
- Proficient in Relational Databases such as MySQL.
- Expertise in Python with extensive knowledge on design patterns.
- Strong unit testing and debugging skills.
- Proficient understanding of code versioning tools.

Apply Here : https://techcompreviews.in/adani-hiring-backend-developer/
Genpact Hiring Fresher Software Consultant – Python


Job Designation : Software Consultant – Python Developer AWS

Qualification : BE/B Tech/ MCA

Experience : Freshers / experienced

Skill Set :
- Strong Technical Expertise on tech stacks – MVC, Dot Net Core, Python, Node, ML, C#, TypeScript, Angular, Web API, SQL.
- Experience on Web Services (Restful)/Micro services integration, Failure Analysis.
- Experience on MySQL (Aurora) / Any NOSQL / MongoDB.
- Experience on Cloud Computing and Cloud Technologies.
- Experience on Agile / DevOps model & tool – JIRA / Remedy tool/ Service Now tool.


Apply Here : https://techcompreviews.in/genpact-hiring-python-developer/
Complete JavaScript Road MapπŸ”₯

A-Z JavaScriptπŸ‘‡


1.Variables
↳ var
↳ let
↳ const

2. Data Types
↳ number
↳ string
↳ boolean
↳ null
↳ undefined
↳ symbol

3.Declaring variables
↳ var
↳ let
↳ const

4.Expressions
Primary expressions
↳ this
↳ Literals
↳ []
↳ {}
↳ function
↳ class
↳ function*
↳ async function
↳ async function*
↳ /ab+c/i
↳ string
↳ ( )

Left-hand-side expressions
↳ Property accessors
↳ ?.
↳ new
↳ new .target
↳ import.meta
↳ super
↳ import()

5.operators
↳ Arithmetic Operators: +, -, *, /, %
↳ Comparison Operators: ==, ===, !=, !==, <, >, <=, >=
↳ Logical Operators: &&, ||, !

6.Control Structures
↳ if
↳ else if
↳ else
↳ switch
↳ case
↳ default

7.Iterations/Loop
↳ do...while
↳ for
↳ for...in
↳ for...of
↳ for await...of
↳ while

8.Functions
↳ Arrow Functions
↳ Default parameters
↳ Rest parameters
↳ arguments
↳ Method definitions
↳ getter
↳ setter

9.Objects and Arrays
↳ Object Literal: { key: value }
↳ Array Literal: [element1, element2, ...]
↳ Object Methods and Properties
↳ Array Methods: push(), pop(), shift(), unshift(),
splice(), slice(), forEach(), map(), filter()

10.Classes and Prototypes
↳ Class Declaration
↳ Constructor Functions
↳ Prototypal Inheritance
↳ extends keyword
↳ super keyword
↳ Private class features
↳ Public class fields
↳ static
↳ Static initialization blocks

11.Error Handling
↳ try,
↳ catch,
↳ finally (exception handling)

ADVANCED CONCEPTS
--------------------------

12.Closures
↳ Lexical Scope
↳ Function Scope
↳ Closure Use Cases

13.Asynchronous JavaScript
↳ Callback Functions
↳ Promises
↳ async/await Syntax
↳ Fetch API
↳ XMLHttpRequest

14.Modules
↳ import and export Statements (ES6 Modules)
↳ CommonJS Modules (require, module.exports)

15.Event Handling
↳ Event Listeners
↳ Event Object
↳ Bubbling and Capturing

16.DOM Manipulation
↳ Selecting DOM Elements
↳ Modifying Element Properties
↳ Creating and Appending Elements

17.Regular Expressions
↳ Pattern Matching
↳ RegExp Methods: test(), exec(), match(), replace()

18.Browser APIs
↳ localStorage and sessionStorage
↳ navigator Object
↳ Geolocation API
↳ Canvas API

19.Web APIs
↳ setTimeout(), setInterval()
↳ XMLHttpRequest
↳ Fetch API
↳ WebSockets

20.Functional Programming
↳ Higher-Order Functions
↳ map(), reduce(), filter()
↳ Pure Functions and Immutability

21.Promises and Asynchronous Patterns
↳ Promise Chaining
↳ Error Handling with Promises
↳ Async/Await

22.ES6+ Features
↳ Template Literals
↳ Destructuring Assignment
↳ Rest and Spread Operators
↳ Arrow Functions
↳ Classes and Inheritance
↳ Default Parameters
↳ let, const Block Scoping

23.Browser Object Model (BOM)
↳ window Object
↳ history Object
↳ location Object
↳ navigator Object

24.Node.js Specific Concepts
↳ require()
↳ Node.js Modules (module.exports)
↳ File System Module (fs)
↳ npm (Node Package Manager)

25.Testing Frameworks
↳ Jasmine
↳ Mocha
↳ Jest

------------------- END-------------------

Some Good Resources To Learn JavaScript
1.Documentation

Mozilla MDN Web Docs
developer.mozilla.org/en-US/docs/Web…
DevDocs
devdocs.io/javascript/

2. Useful Channel's

Javascript Courses: https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
Programming Resources: https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h
FreeCodeCamp: youtube.com/c/FreeCodeCamp

Hope it helps 😊🌱
Wipro Software Engineer Freshers Recruitment


Job Designation : Software Engineer

Qualification : Bachelor’s Degree

Experience : Freshers

Skill Set :
- Excellent programming skills in Java and Python.
- Solid computer Science and Software Development skills
- Back-End Web Development proficiency
- Programming and Object-Oriented Programming (OOP) knowledge
- Good knowledge of software development life cycle.


Apply Here : https://techcompreviews.in/wipro-hiring-software-engineer/
Genpact Freshers Software Consultant – Java


Job Designation : Software Consultant, Java Developer

Qualification : BE/BTech/MCA

Experience : Freshers / Experienced

Skill Set :
- Proficient in Java 8 programming.
- Expertise in working with data-bases – NoSQL and/or Relational.
- Familiar with design patterns, domain driven design and other software development best practices .
- Good knowledge of any cloud platform.
- General knowledge of working with complex business processes, data flows and consuming large amounts of data.


Apply Here : https://techcompreviews.in/genpact-hiring-java-developer/
Coinbase Hiring Freshers Software Engineer


Job Designation : Software Engineer

Salary : 34. 8 LPA

Qualification : Bachelors or Masters degree

Experience : Freshers / Experienced

Skill Set :
- Good knowledge of programming/modeling, preferably in Golang, Ruby, JavaScript and Python.
- Sound knowledge of Software Development Life Cycle ( SDLC ) and testing skills.
- Good knowledge of Blockchain, crypto and web3 concepts.
- Familiar with AWS, Docker, Postgres, Ruby, MongoDB, React Native.
- Good knowledge of Operating systems iOS, Android.


Apply Here : https://techcompreviews.in/coinbase-hiring-software-engineer/
JPMorgan Chase Hiring Fresher Software Engineer


Job Designation : Software Engineer – Database

Qualification : Bachelor’s / Masters Degree

Experience : Freshers / Experienced

Skill Set :
- Hands-on practical experience in Tandem development in high availability environment
- Experience in Tandem INSPECT/e-INSPECT/visual inspect, Tandem COBOL, TACL
- Experience with Tandem PATHWAY, payment and debit networks (Visa, MC, Discover, Star, Pulse, etc)
- Demonstrates strong communication skills and the ability to interact with individuals at all levels
- Demonstrates strong problem analysis and resolution skills
- Strong problem analysis & resolution skills
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Apply Here : https://techcompreviews.in/jpmorgan-hiring-software-engineer/