Basic Pack -Data Analytics, Data Visualization & Python Coding

Description

Data Analytics, Data Visualization & AI Prompt Engineering Program

🧭 Who is this for?

• Students, freshers & graduates seeking job-ready skills

• Working professionals upskilling or switching to Data Analytics or Business Intelligence

• Entrepreneurs & freelancers exploring analytics & AI tools

🗂️ Course Modules Overview

Module 1: SQL for Data Analysis

Objective: Learn how to extract, manipulate, and analyze structured data from relational databases.

Topics Covered:

• Introduction to Databases and RDBMS

• SQL Basics: SELECT, WHERE, ORDER BY, GROUP BY

• Joins: INNER, LEFT, RIGHT, FULL OUTER

• Subqueries and CTEs

• Window Functions and Aggregations

• Data Cleaning and Transformation with SQL

• Case Studies: Sales Reports, Customer Segmentation

• Hands-on: PostgreSQL / MySQL with Workbench

Outcome: Write complex queries, create dashboards from SQL results, and prepare data for BI tools.

Module 2: Python for Data Analytics

Objective: Develop strong programming foundations and automate analytical tasks.

Topics Covered:

• Python Basics: Variables, Functions, Loops, Conditions

• Data Structures: Lists, Dictionaries, Sets, Tuples

• Working with Pandas and NumPy

• Data Cleaning and Transformation

• Exploratory Data Analysis (EDA) with Matplotlib & Seaborn

• Mini Project: Analyze ecommerce or sales data

Outcome: Confidently use Python for data wrangling, analysis, and automation.

Module 3: Tableau for Interactive Dashboards

Objective: Build and publish visual dashboards to tell compelling data stories.

Topics Covered:

• Tableau Interface and Data Connection

• Charts: Bar, Line, Pie, Map, Scatter, Bubble

• Filters, Parameters, Calculated Fields

• Dashboards & Stories

• Live vs Extract Connections

• KPI and Business Reporting

• Publishing to Tableau Public / Server

Outcome: Create dynamic dashboards that communicate insights effectively.

Module 4: Power BI for Business Intelligence

Objective: Create enterprise-level dashboards and connect to various data sources.

Topics Covered:

• Power BI Desktop & Power Query

• Data Import and Transformation

• DAX Formulas and Calculated Columns

• Relationships and Data Modeling

• Advanced Charts and Drill-throughs

• Power BI Service: Sharing Reports

• Row-Level Security & Gateway Setup

Outcome: Build professional BI dashboards and automate reporting pipelines.

Module 5: Prompt Engineering for Generative AI Tools

Objective: Master the skill of crafting prompts to unlock the power of ChatGPT, Bard, Claude, and other LLMs.

Topics Covered:

• Basics of LLMs and How Prompting Works

• Types of Prompts: Informative, Instructional, Role-based

• Prompt Templates & Chains

• Prompt Debugging and Refinement

• Tools: ChatGPT, Gemini, Claude, Playground, LangChain (Intro)

• Practical Use Cases:

  • Resume creation

  • Data cleaning suggestions

  • Marketing content

  • Business report writing

  • SQL query generation

  • Dashboard commentary

Outcome: Become proficient in guiding LLMs for business, analytics, and productivity applications.

🧑‍🏫 Add-Ons:

• Doubt Clearing Sessions (Live support with mentors)

• Resume Building + LinkedIn Optimization

• Mock Interviews & Job Referrals

• Placement Assistance

• Certification from DV Analytics

🎯 Skills You Will Gain

• Structured Querying

• Data Visualization

• Dashboard Design

• Programming & Scripting

• Automation in Analytics

• Prompt Engineering for AI tasks

• End-to-End Analytical Thinking