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.

Yes, you can definitely become a software engineer after a B.Sc. in Electronics and Computer Technology! While a Computer Science degree might be the most direct path, your electronics and computer technology background provides a valuable foundation for a software engineering career.

Your B.Sc. program likely covered essential software engineering concepts like programming languages, data structures, algorithms, and problem-solving. Additionally, the electronics component might have provided you with a strong understanding of computer hardware and systems, which can be beneficial for software development. If your program offered a strong focus on programming languages and software development principles, you're well on your way to becoming a software engineer.

Many online resources, tutorials, and coding bootcamps can help you enhance your programming skills in specific languages like Java, Python, or C++. Build a portfolio of personal software projects to showcase your coding abilities and problem-solving approach. Look for software development internships to gain practical experience in a professional setting.

I hope it helps!

List of Colleges for 25,000 to 50,000 Rank in TS EAMCET 2024: TS EAMCET seat allotment 2024 for round 1 has been released on July 19, 2024. The authorities will release the TS EAMCET cutoff 2024 soon. Candidates with a TS EAMCET 2024 rank between 25,000 and 50,000 have a good probability of getting accepted into renowned private institutions through TS EAMCET Counselling 2024. A rank between 25,000 to 50,000 in TS EAMCET is considered as an average rank. Applicants with TS EAMCET 25,000 to 50,000 rank can secure admission in the second phase of counselling. The list of colleges for 25,000 to 50,000 rank in TS EAMCET 2024 are CMR College of Engineering and Technology, JNTUH University of Technology and Engineering Jagital, SR University, Vignana Bharathi Institute of Technology, etc. With a 25,000 to 50,000 rank in TS EAMCET 2024 candidates can get admission to BTech specializations like Mechanical Engineering, Electrical and Electronics Engineering. Civil Engineering. Computer Science and Engineering, etc.

You got a better rank than many others. You can get a seat in some of the jntu universities. Even your caste decides that..if you are from backward castes you can even get a rank in SVU(becoz mostly students get into svu with a rank below 10000) and in some other leading government universities however, the actual allotment of institute candidates can only be found by appearing for the TS EAMCET counselling and seat allotment. The TS EAMCET 2024 seat allotment varies as per candidate's category, applicant performance in TS EAMCET, seat availability, no. of participating, and institutes. Applicants can use the TS EAMCET College Predictor 2024 to predict their admission chances into their desired college as per their TS EAMCET rank.

We have created a list of colleges where a candidate can receive admission based on their TS EA.MCET 2024 rank in order to help students get a sense of college prediction for this rank range.