Hello Aspirant

A company, when looking for a candidate for their job roles, sees whether you have completed your degree from a well-recognized college/university with stellar grades, and extra-curricular and co-curricular activities, to make sure that you can handle many things at once without letting your grades be affected.

Because you discontinued your studies, it may seem like you can't handle stress. The distance education part may have not looked bad were it any other course, but for BTech, companies want their candidates to have acquired their degree via regular classes. All these things will hinder your career path.

In order to cover these, please take up some online courses and projects to improve your resume, even Internships and work experience, etc. will help boost your resume. I'm not saying you are not eligible to apply, you are and you can apply, but the competition is very high and you need to stand out among the crowd.

Hope this helps

If you're interested in 2-year diploma programs in computer engineering or software engineering, here are some general steps to find out if admissions are open and how to apply:

1. Research institutions that offer these programs in your region.

2. Check the official websites for admissions information.

3. Contact the admissions office for details if needed.

4. Ensure you meet the eligibility criteria.

5. Follow the application process outlined by the institution.

6. Be aware of any entrance exams or merit-based admission requirements.

You can also look for specific colleges online, contact their admissions offices, and stay updated on application deadlines and procedures. If you have specific institutions in mind, I can help you find more detailed information about their admission process.

Hello aspirant,

Software engineering is an area of computer science that focusses on software application design, development, testing, and maintenance. It gives students the tools they need to create software systems that are both effective and efficient. In India, there are about 170 colleges that provide courses in software engineering.

For more information you can visit our website by clicking on the link given below.

https://dqxeclau.top/courses/software-engineering-course

Thank you

Hope this information helps you.

Hello student

Yes, even if you are an electrical and electronics engineering (EEE) student and are interested in software jobs, you can definitely apply. While EEE focuses on hardware and electrical systems, the skills and knowledge gained during the course can be relevant to software development. Many EEE students have successfully transitioned to software careers by leveraging their understanding of:

1. Programming languages (e.g., C, C++, Python)

2. Digital logic and microcontrollers

3. Data structures and algorithms

4. Problem-solving and analytical skills

Software companies value diverse backgrounds, and EEE students can bring unique perspectives to software development. However, additional training or certification in software development can be beneficial to enhance job prospects.

Some software roles that EEE students can consider include:

1. Software engineer

2. Junior developer

3. Data analyst

4. IT consultant

5. Technical support specialist

Remember, skills and passion matter more than degrees.  Show off your programming skills, projects, and enthusiasm to potential employers.

Hi folk,

Hope you are doing fine.

Getting an admission in any college depend on the several factors like the cutoffs , the difficulty level of the exams and the number of students appeared for the examination and various such factors.

You can visit the official website of the eamcet and then can check about the previous year cuttoffs and the opening and the closing ranks to  get an idea about which are the colleges are eligible to get an admission at this rank and in your preferred stream.

You can also take help from our official college predictor which will give you an exact idea about the colleges that are available at this rank and the programs offered there. The link of the predictor is mentioned below. You can take help from there.

https://dqxeclau.top/ap-eamcet-college-predictor?utm_source=qna&utm_medium=ini-cet_cp

Hope this resolves your query.

Hello,

With a score between 80-85% in MHT CET, you may be able to get into some of the top engineering colleges in Maharashtra, but the best colleges usually have a cutoff of 95-96% ¹. Some of the top colleges that may be within your reach include ²:

· ICT Mumbai

· College of Engineering Pune

· MIT WPU

· VJTI Mumbai

· Army Institute of Technology

· Sardar Patel Institute of Technology

· KJ Somaiya Institute of Technology

Hope this helps,

Thank you

Hello Bhoomika,

Predicting admissions with absolute certainty is difficult due to variations in cutoffs each year. Considering your rank of 33327 and belonging to the 3BR category, there's a low chance of securing a seat in Information Science Engineering (ISE) at Acharya Institute of Technology (AIT) through KCET 2024. Here's why:

• Previous Years' Cutoffs: Looking at previous year cutoffs generally, the KCET cutoff for ISE at AIT for the general category can range from 15,000 to 19,000. Even with the benefit of the 3BR reservation category, a rank of 33327 might fall short.
  
  But you have a good chances of getting admission in other colleges.
  
  I would recommend you to use KCET college predictor tool by Careers360 to get the list of possible colleges you can get with your rank.

  
  Here is the link to the tool:

  https://dqxeclau.top/kcet-college-predictor?utm_source=qna&utm_medium=ini-cet_cp

  Click on the above link, fill the required details and you will get the list of possible colleges at your rank.
  
  

  I hope this answer helps you. If you have more queries then feel free to share your questions with us we will be happy to assist you.

  Thank you and wishing you all the best for your bright future.

Python is the go-to language for data science. Proficiency in Python libraries like NumPy, Pandas, Matplotlib, and Scikit-learn is essential. If you're familiar with other languages like R or Java, that's a plus, but focus on mastering Python for data science.

Brush up on core statistical concepts like hypothesis testing, regression analysis, and probability. Learn the fundamentals of machine learning algorithms like linear regression, decision trees, random forests, and classification methods. Brush up on core statistical concepts like hypothesis testing, regression analysis, and probability. Learn the fundamentals of machine learning algorithms like linear regression, decision trees, random forests, and classification methods.

Learn how to acquire data from various sources, handle missing values, and clean and manipulate data for analysis.

Being able to query databases to retrieve relevant data is a valuable skill for data scientists.


https://dqxeclau.top/download/ebooks/beginners-guide-data-science

I hope it helps!

Effective communication of insights is crucial. Master data visualization tools like Tableau, Power BI, or libraries like Seaborn and Matplotlib to create clear and impactful visualizations.

Given your background in CRM, you're already equipped with valuable skills that can be directly applied to the field of data science. Your understanding of customer data, analytics, and business processes will be a significant asset.

Essential Courses and Certifications:

1. Foundation in Data Science:

   • Python Programming: A solid foundation in Python is crucial for data science tasks.
   • Statistics: Understand statistical concepts like probability, distributions, hypothesis testing, and regression analysis.
   • Linear Algebra: Grasp matrix operations, vector spaces, and eigenvalues for data manipulation.

2. Data Analysis and Visualization:

   • Data Cleaning and Preprocessing: Learn techniques to handle missing values, outliers, and data normalization.
   • Data Visualization: Master libraries like Matplotlib, Seaborn, and Plotly to create informative visualizations.
   • Exploratory Data Analysis (EDA): Gain proficiency in exploring datasets to uncover patterns and insights.

3. Machine Learning:

   • Supervised Learning: Dive into algorithms like linear regression, logistic regression, decision trees, random forests, and support vector machines.
   • Unsupervised Learning: Explore clustering algorithms (k-means, hierarchical clustering) and dimensionality reduction techniques (PCA, t-SNE).
   • Deep Learning: Understand neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).

4. Specialized Courses for Data Science in CRM:

   • Customer Segmentation: Learn techniques to group customers based on their characteristics and behaviors.
   • Customer Churn Prediction: Understand models to predict customer attrition and take preventive measures.
   • Customer Lifetime Value (CLTV) Analysis: Calculate and analyze the long-term value of customers.
   • Recommendation Systems: Explore collaborative filtering and content-based filtering algorithms.

Recommended Certifications:

• Certified Data Scientist (CDS) from SAS: This certification validates your data science skills and knowledge.
• Data Scientist Associate (DSA) from IBM: A comprehensive certification covering data science fundamentals.
• Certified Analytics Professional (CAP) from INFORMS: A globally recognized certification for analytics professionals.

Online Platforms:

• Coursera: Offers courses from top universities like Stanford, University of Michigan, and Google.
• edX: Provides courses from institutions like MIT, Harvard, and UC Berkeley.
• DataCamp: A platform focused on data science and data analysis.
• Kaggle: A community platform for data scientists to practice and compete in data challenges.