Invitation for SMART LEARN SERIES: ONLINE WORKSHOP ON DATA ANALYTICS| IBM SKILLS BUILD

 Here is invitation for you to attend SMART LEARN SERIES: ONLINE WORKSHOP ON DATA ANALYTICS| IBM SKILLS BUILD.

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SMART LEARN SERIES: ONLINE WORKSHOP ON DATA ANALYTICS| IBM SKILLS BUILD

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Overview:
This one-day workshop is designed to introduce participants to the core concepts, tools, and practical skills involved in analysing data effectively. Through a blend of theory and hands-on activities, learners will understand the data lifecycle from collection to visualization. while working with real-world datasets using Python and popular industry tools like Excel, Power BI, and Tableau.

Date of Workshop: 23 August2025, 10:00 AM – 5:00 PM
Registration Fee: Nil

Learning Objectives:

  1. Explain what Data Analytics is and why it is important across various domains.
  2. Distinguish between roles: Data Analyst, Data Scientist, and Data Engineer.
  3. Understand the difference between data and information.
  4. Perform basic data cleaning: handle missing values, remove duplicates, normalize data.
  5. Describe the data analytics lifecycle: collection, cleaning, analysis, and visualization
  6. Identify different types of data (numeric, categorical, text) and the purpose of EDA.
  
Sl.NoCourse ModuleKey Topics
1Skills Build OrientationOrientation on IBM Skills Build
2IntroductionWhat is Data Analytics?
Importance in business, health, social media
Data vs Information
Lifecycle: Collect, Clean, Analyze, Visualize
3Data Types & Data CleaningTypes: Numeric, Categorical, Text
Handling missing values
Removing duplicates
Normalization & formatting
4Exploratory Data Analysis (EDA)Python and Libraries – Pandas, Seaborn, Matplotlib
Descriptive statistics
Visualizations: histograms, boxplots, heatmaps
Hands-on with sample dataset
5Data Analytics ToolsExcel – filters, pivot tables
Power BI – dashboards
Tableau – drag and drop charts
Python scripts
6Careers in Data AnalyticsAnalyst vs Data Scientist vs Engineer
Skills: SQL, Python, tools

System requirements: 

A Computer System (PC/Laptop) with Windows/Linux and the following preferred requirements:   

a.      RAM size - 4GB or more,   
b.      HDD size - 64 GB free disk space is required,   
c.       High-speed internet connection (1 Mbps recommended)

All participants will receive an e-certificate of participation

Register  and  Join us to kickstart your Data Analytics journey !!


For more details: Click here

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