IBM Fresher Backend Software Developer Recruitment

Job Designation : Software Backend Developer

Salary : 6 LPA – 10 LPA

Qualification : Bachelor’s Degree

Experience : Freshers / Experienced

Skill Set :

- Strong programming knowledge in Java, COBOL, JCICS, Python, Golang.

- Sound knowledge of Agile Application Development & Scrum methodologies.

- Good understanding of Network Routing Protocols

- Experience with structured Architecture practices, hybrid cloud and Cloud Network

- Sound knowledge of Cloud Concepts – VPC, Subnet, Floating Ips.

👉 𝗝𝗼𝗶𝗻 𝘁𝗵𝗶𝘀 𝘄𝗵𝗮𝘁𝘀𝗮𝗽𝗽 𝗰𝗵𝗮𝗻𝗻𝗲𝗹 𝗳𝗼𝗿 𝗡𝗼𝘁𝗲𝘀 : https://lnkd.in/dNen4H_z

Apply Here : https://www.linkedin.com/posts/rupnath-shaw_ibm-fresher-backend-software-developer-recruitment-activity-7246755916639809539-GO-p/

Here Are 7 Microsoft is Offering FREE Courses


1. Introduction to Machine Learning for Beginners

https://learn.microsoft.com/en-us/shows/machine-learning-for-beginners/

2. Microsoft AI Bootcamp for Educators

https://learn.microsoft.com/en-us/training/courses/msle-ai-bootcamp-fun

3. Create machine learning models

https://learn.microsoft.com/en-us/training/paths/create-machine-learn-models/

4. Understand data science for machine learning

https://learn.microsoft.com/en-us/training/paths/understand-machine-learning/

5. PyTorch Fundamentals

https://learn.microsoft.com/en-us/training/paths/pytorch-fundamentals/

6. Train and evaluate deep learning models

https://learn.microsoft.com/en-us/training/modules/train-evaluate-deep-learn-models/

7. Fundamentals of Azure OpenAI Service

https://learn.microsoft.com/en-us/training/modules/explore-azure-openai/

FREE AWS Cloud Computing Trainings.

Your gateway to a complete career transformation! 👇👇

https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h

Learn these concepts to master React JS ✅ 👇

https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h

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?

Join WhatsApp Channel - https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h

List of companies that Offering 12+ lakh/yr Base salary to Freshers🧑‍💻

Companies List:👇

Acko ✅

Adobe ✅

Airbase ✅

Airbnb ✅

Airbus ✅

Airtel X Labs ✅

Ajio ✅

Akamai ✅

AlphaGrep ✅

Alphonso ✅

Amagi ✅

Amazon ✅

American Express ✅

Angel One ✅

Ansys ✅

Anthem ✅

Apna ✅

AppDynamics ✅

Arcesium ✅

Arista ✅

Atlassian ✅

AutoDesk ✅

Auzmor ✅

Avail Finance ✅

Avalara ✅

BCG ✅

BNY Mellon ✅

Bain & Company ✅

Bankbazaar ✅

Belzabar ✅

Bharatpe ✅

Bigbasket ✅

Biofourmis ✅

Blinkit ✅

Blackbuck ✅

BloomReach ✅

Booking ✅

Bright Money ✅

Broadcom ✅

Browserstack ✅

Bukuwarung ✅

Buyhatke ✅

Byjus ✅

C2FO ✅

Cadence ✅

CashFree ✅

Chargebee ✅

Chegg ✅

Chronus Software ✅

Cisco ✅

Citi Bank ✅

Citrix ✅

Citymall ✅

Clarisights ✅

ClearQuote ✅

ClearTax ✅

ClearTrip ✅

Cloootrack ✅

Cloud Lending ✅

Clumio ✅

Credgenics ✅

Codenation ✅

Cogoport ✅

Cohesity ✅

Coinbase ✅

Coinswitch ✅

CommercelQ ✅

Commvault ✅

Confluent ✅

CouchBase ✅

Cred ✅

Credit Suisse ✅

Many more companies 👇👇


Join WhatsApp - https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h

5 Certifications to Increase your package in 2025 👇👇

https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h

Data Analyst Roadmap🔥🔥🔥

React ❤️ if you want more content like this

❗️Siemens Hiring Off Campus 2024❗️

Job Role: System Engineer – Freshers
Location: Gurugram
Experience: Freshers
Salary: Upto ₹6 LPA

⭕️ Apply Link:
https://techcompreviews.in/siemens-hiring-system-engineer/

✅ WhatsApp group
https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h

🏃Share This opportunity with your Friends

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

🔗 https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h

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 Map🔥

A-Z JavaScript👇

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 😊🌱