Data Careers Resources & Job Updates | iamrupnath

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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

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.

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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/

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Bank of America Recruitment of Fresher Software Engineer Job Designation : Software Engineer Qualification : BTech Experience : Freshers Skill Set : - Sound knowledge of programming languages . Net, Java, Angular, React, Python etc. - Familiar with UNIX programming and shell scripting. - Good knowledge of Software development and testing skills. - Good data structures knowledge – with some RDBMS programming skills. - Sound knowledge of Devops and full stack development. Apply Here : https://careers.bankofamerica.com/en-us/job-detail/24035812/software-engineer-i-b-gbs-ind-multiple-locations

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Wipro Hiring Fresher Python Developer Job Designation : Software Python Developer Qualification : Bachelor’s / Master’s Degree Experience : Freshers Skill Set : - Excellent programming skills in Java and Python. - Strong coding and troubleshooting skills in shell scripting and Python or Java. - Expertise in Python API programming. - Good knowledge of software development life cycle. - Good knowledge on deployments, services, platform setup and optimization. Apply Here : https://www.linkedin.com/posts/rupnath-shaw_wipro-hiring-fresher-python-developer-job-activity-7239537583494492160-FMk7/ 👉 Daily job updates & notes : https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h

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Multiple Hiring Opportunity for Freshers (0-2 years) Amazon is hiring for Software Development Engineer I Expected Salary: 20-30 LPA Apply here:https://jobfound.org/job/amazon-is-hiring-for-software-development-engineer-i-or-haryana-software-engineer Razorpay is hiring for Software Development Engineer Expected Salary: 15-25 LPA Apply here:https://jobfound.org/job/razorpay-is-hiring-for-software-development-engineer-or-bangalore-software-engineer MasterCard is hiring for Software Engineer I Expected Salary: 8-15 LPA Apply here:https://jobfound.org/job/mastercard-is-hiring-for-software-engineer-i-or-pune-software-engineer Mediaocean is hiring for Associate Software Engineer (DevOps) Expected Salary: 7-10 LPA Apply here:https://jobfound.org/job/mediaocean-is-hiring-for-associate-software-engineer-devops-or-pune-software-engineer Granicus is hiring for Generative AI Internship Expected Salary: 4-6 LPA Apply here:https://jobfound.org/job/granicus-is-hiring-for-generative-ai-internship-or-bengaluru-software-engineer Edifecs is hiring for Associate Software Engineer Expected Salary: 6-10 LPA Apply here:https://jobfound.org/job/edifecs-is-hiring-for-associate-software-engineer-or-india-software-engineer Icertis is hiring for Intern (AI- Engineering) Expected Salary: 2-4 LPA Apply here:https://jobfound.org/job/icertis-is-hiring-for-intern-ai-engineering-software-engineer Hewlett Packard is hiring for Intern Hiring - FY-25 Expected Salary: 2-4 LPA Apply here:https://jobfound.org/job/hewlett-packard-is-hiring-for-intern-hiring-fy-25-or-bangalore-software-engineer 👉 Daily job updates & notes : https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h