Course Overview:
Master data analytics techniques, including data cleaning, analysis, and visualization. Learn to use tools like Excel, Tableau, and Power BI to extract meaningful insights from data.
Duration: 3+1 months
Introduction to Data Analytics
- What is Data Analytics?
- Importance and Applications
- Data Types: Structured vs. Unstructured
- Data Analytics Lifecycle
- Tools and Technologies: Excel, SQL, Python, R, Tableau, Power BI
Data Collection and Cleaning
- Primary and Secondary Data Sources
- Web Scraping Basics
- APIs and Data Feeds
- Handling Missing Data
- Data Transformation and Normalization
Exploratory Data Analysis (EDA)
- Descriptive Statistics
- Data Visualization Principles
- Tools: Matplotlib, Seaborn
- Creating Interactive Visuals
- Dashboards and Reporting
Statistical Analysis
- Basic Probability Concepts
- Statistical Distributions
- Hypothesis Testing
- Inferential Statistics: Confidence Intervals, T-tests, Chi-Square Tests, ANOVA
Data Manipulation and Analysis with Python
- Introduction to Python
- Libraries: Pandas, NumPy
- Data Cleaning and Transformation with Pandas
- Time Series Analysis and Forecasting Models
SQL for Data Analytics
- SQL Basics: Queries, Filtering, Sorting
- Advanced SQL: Joins, Subqueries, Window Functions
Machine Learning for Data Analytics
- Supervised vs. Unsupervised Learning
- Regression Analysis and Classification Techniques
- Clustering Methods, Decision Trees, Random Forests
- Model Evaluation and Validation
Big Data and Cloud Computing
- Big Data Technologies: Hadoop, Spark
- Cloud Computing: AWS, Azure, Google Cloud
Data Ethics and Governance
- Ethical Considerations in Data Analytics
- Data Privacy and Security
- Data Management Practices and Regulatory Compliance
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