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MBA Opportunities
As you begin your MBA journey, here are a few tips to help you make the most of your experience:
The MBA program is carefully structured to ensure that you get both theoretical knowledge and practical skills. You will experience a blend of:
These foundational courses will provide you with the critical business knowledge you need, such as finance, marketing, and strategy.
Choose from specialized subjects to tailor the program to your career goals. Topics might include data analytics, business ethics, or sustainable business practices.
Apply your learning to real-world scenarios and case studies that challenge you to think strategically and analytically.
Put your skills to the test by working on a significant business project or internship with a company, gaining hands-on experience in the field.
Annual Job Growth By 2025
Expected New MBA & NON-IT Jobs By 2025
Average Annual Salary
Data Science : Python
◈ Introduction to Python
◈ Type Casting and String
◈ Operators and Conditional statement
◈ Loops and Function
◈ Data Structure of Class
◈ Exceptional Handling
◈ Regex
◈ Numpy and Pandas
◈ Matplotlib and Seaborn
◈ Exploratory Data Analysis
Data Science : SQL
◈ CRUD Operations
◈ Group Function and Join Queries
◈ Table Constraints
◈ Cursors Method
◈ String Tranformation and Regex
◈ Data Time Manipulation
◈ Data Modeling
◈ CTE
◈ Stored Procedures
Data Science : Maths and Stats
◈ Vectors
◈ Matrices
◈ Linear Equation
◈ Calculus
◈ Sample vs population
◈ Probability
◈ Types of Distribution
◈ Central limit Theorem
◈ Hypothesis testing
◈ Skewness and kurtosis
Data Science : Artificial Intelligence
◈ Introduction to AI
◈ Intro to Machine Learning
◈ what is data ?
◈ Brief Intro to Machine Learining Algorithm
◈ Life Cycle of Data Science & ML Project
◈ Intro to Deep Learning
◈ Real world Implementation of AI
◈ Different Roles in Data Science
Data Science : Machine Learning
◈ Feature Selection
◈ Simple Linear Regression
◈ Multiple Linear Regression
◈ Advanced Regression
◈ Logistic Regression
◈ KNN Algorithm
◈ Decision Tree
◈ Navie Bayes
◈ Clustering
◈ Ensemble ML Algorithm (Bagging & Boosting)
Data Science : Deep Learning
◈ Neural Network Module
◈ PyTorch Fundamentals
◈ Loss Function
◈ Activation Functions in neural
◈ Computer Vision Module
◈ Image Data Pre-Processing
◈ CNN with Fit generators
◈ OpenCV
◈ Image Segmentation
◈ NLP Module
◈ ANN & RNN & LSTM
◈ Time Series Module
◈ Stationarity
◈ Auto ARIMA, SARIMA & SARIMAX
Data Science : Data Structure
◈ Array
◈ Algorithms
◈ Linked List
◈ Stacks and Queues
◈ Recursion
◈ Tree
◈ Graphs
◈ Dynamic Programming
◈ Designing NLP algorithm
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