Course Overview:
Dive into the world of data science with our comprehensive course covering statistics, machine learning, data visualization, and big data technologies. Learn to analyze and interpret complex data to drive business decisions.
Duration:4+2 months
Introduction to Data Science
- Definition and scope
- Data science vs. traditional data analysis
- Real-world applications
Mathematics and Statistics for Data Science
- Mathematics Basics: Linear algebra, Calculus
- Probability and Statistics: Descriptive statistics, Inferential statistics, Probability theory, Hypothesis testing, Regression analysis
Programming for Data Science
- Python Programming: Introduction to Python, Data structures, Functions and modules
- Data Manipulation with Python: NumPy, Pandas, Working with data frames
- Data Visualization: Matplotlib, Seaborn, Plotly
Data Collection and Cleaning
- Data Collection Methods: APIs, Web scraping, Databases
- Data Cleaning Techniques: Handling missing data, Data transformation, Data normalization and scaling
Exploratory Data Analysis (EDA)
- Understanding Data Distributions: Univariate, Bivariate, Multivariate analysis
- Visual EDA Techniques: Histograms, Box plots, Scatter plots
Machine Learning
- Supervised Learning: Linear regression, Logistic regression, Decision trees, Random forests, SVM, KNN
- Unsupervised Learning: Clustering (K-means, hierarchical clustering), PCA
- Model Evaluation: Cross-validation, Model tuning, Performance metrics (accuracy, precision, recall, F1 score)
Advanced Topics in Machine Learning
- Deep Learning: Neural networks, CNNs, RNNs
- NLP: Text processing, Sentiment analysis, Topic modeling
- Time Series Analysis: ARIMA models, Seasonal decomposition
Big Data Technologies
- Introduction to Big Data: Characteristics (Volume, Variety, Velocity, Veracity), Hadoop ecosystem
- Apache Spark: Spark basics, Spark SQL, Spark MLlib
Data Engineering
- Data Warehousing and ETL: ETL processes, Data warehousing concepts
- SQL and NoSQL Databases: MySQL, PostgreSQL, MongoDB, Cassandra
Bonus Add-On’s with every course:
Soft Skills Training
Soft skills are crucial for success in placements, as they complement technical skills and help candidates stand out during interviews and in professional environments. Here's a comprehensive outline for a soft skills training program tailored for placement preparation: which is provided by us.
- Importance of Soft Skills
- Communication Skills
- Verbal Communication
- Non-Verbal Communication
- Presentation Skills
- Written Communication
- Interpersonal Skills
- Teamwork & Collaboration
- Leadership Skills
- Problem-Solving & Critical Thinking
Resume Writing Session
Resume writing sessions will be delivered to help students craft effective resumes that highlight their skills, experiences, and qualifications. Below is a detailed outline for a resume writing session designed to prepare students for placement:
- Types of Resumes
- Key Components of a Resume
- Objective Statement or Summary
- Tailoring Students Resume
- Highlighting Relevant exposure
- Writing Effective Bullet Points
- Formatting & Design
- Do & Don’ts of Resume Writing
Interview Preparation Session
Preparing freshers for placement interviews involves equipping them with the knowledge, skills, and confidence needed to perform well in interviews. Here’s a comprehensive outline for an interview preparation session specifically designed for our students.
Purpose of an Interview
Types of Interviews
- Technical Interviews
- HR Interviews
- Behavioural Interviews
- Group Discussions (GD)
- Panel Interviews
- Online/Virtual Interviews
Understanding the Interview Process
- Pre-Interview Preparation
- Researching the Company
- Understanding the Job Description
- Reviewing Your Resume
- Preparing Your Portfolio
Types of Interview Questions
- Traditional Questions
- Behavioural Questions
- Technical Questions
- Technical Questions
- Mastering Common Interview Questions
- Master the Art of speaking
- Non-Verbal Communication
- Virtual Interview Preparation
- Handling Difficult Questions
- The Importance of Asking Questions
- Mock Interviews
- Post-Interview Etiquette
- Dealing with Interview Anxiety