Data Science and AI

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Data Science and AI

6 Months

Course Duration

18 Modules

Course Modules

Offline/Online

Mode

Overview

Data science and AI Course is one of the most valuable skill-set, widely admired in the corporate world. At Analytics And AI Academy.com, one of the leading data science institutes in Delhi, we provide a comprehensive program that includes hands-on Data science and AI training and a highly recognized Data science and AI certification.

Tools Covered

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Course Curriculum

→ Introduction to the Course
→ Importance of Data Science and AI
→ Fundamentals of Data Science
→ Introduction to Artificial Intelligence
→ Digital Platforms and Resources
→ Communication Channels

→ Overview of the Course Modules
→ Brief on Assignments and Assessments

→ Overview of Excel Interface
→ Key Formulas and Functions
→ Ranges and Tables
→ Data Cleaning – Text Functions, Dates and Times
→ Conditional Formatting
→ Sorting and Filtering

→ Pivots
→ Data Analysis in Excel – Trends and Patterns
→ Data Visualization in Excel – Charts and Plots
→ Working With Multiple Worksheets
→ Linking and Referencing Data Between Worksheets

→ Introduction to Business Intelligence (BI)
→ Use cases of BI Power BI and Key concepts
→ Various BI tools
→ Building blocks of Power BI
→ Data Extraction
→ Connect to SQL and other platforms
→ Import Data from Excel

→ Replace Data Split columns
→ Data Relationships and DAX
→ DAX Syntax and Functions
→ Time and Data functions
→ DAX Features
→ Power BI and VisualizationPower BI and Visualization
→ Formatting and customizing visuals
→ Combinations charts (dual axis charts)
→ Custom Visualization-Filter pane, Slicer

→ Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)
→ Live vs extract connection
→ Basic charts and Dual Axes charts
→ Tableau data types
→ Connection to Excel
→ Management of metadata and extracts

→ Plotting longitude and latitude
→ Customizing geocoding, polygon maps, WMS: web mapping services
→ Map visualization, custom territories
→ Calculation syntax and functions in Tableau
→ Types of calculations (Table, String, Date, Aggregate, Logic, and Number)

→ Overview of Python
→ Understanding Statements, Expressions, and Indentation
→ Overview of Identifiers, Keywords, and Comments
→ Variables: Declaration, Assignment, and Naming Conventions
→ Common Data Types: Integers, Floats, and Strings
→ Type Casting and Conversion
→ Operators in Python
→ Hands-on Activity

→ Plotting longitude and latitude
→ Customizing geocoding, polygon maps, WMS: web mapping services
→ Map visualization, custom territories
→ Calculation syntax and functions in Tableau
→ Types of calculations (Table, String, Date, Aggregate, Logic, and Number)

→ SQL and Its Significance
→ SQL’s Role in Data Retrieval and Manipulation
→ Select Statement for Data Retrieval
→ Retrieving Specific Columns and All Columns
→ Using Distinct to Remove Duplicates
→ Data Models & ER Diagrams
→ Relational vs. Transactional Models
→ Organizing Data in Tables
→ Filtering Data with Where Clause
→ Sorting Data with Order By
→ Limiting Results with Limit
→ Using Aliases for Column Names
→ Hands-on Activity

→ Creating and Using Temporary Tables
→ Adding Comments to SQL Code for Documentation
→ Introduction to Data Modeling
→ Designing a Database Schema
→ Sorting Data with Order By (Advanced)
→ Advanced Filtering (With IN, OR, AND, NOT)
→ Performing Mathematical Operations on Data
→ Introduction to Aggregate Functions (Count, Sum, Avg, Max, Min)
→ Grouping Data with Group By
→ Filtering Grouped Data with Having
→ Understanding Subqueries and Their Types
→ Performing Join Operations (Inner Join, Left Join, Right Join, Full Outer Join)
→ Updating and Deleting Data with SQL
→ Analyzing Data with Statistics
→ Hands-on Activity

→ Loop Control Statements: Break, Continue, and Pass
→ Defining and Calling Functions
→ Function Parameters and Return Values
→ Scope of Variables (Global and Local)
→ Advanced Functions
→ Default Values and Variable-Length Arguments
→ Recursive Functions
→ Map, Reduce, and Filter
→ Introduction to Exceptions
→ Try, Except, and Finally Blocks
→ Handling Common Errors
→ Hands-on Activity

→ Basic Operations on Dictionaries
→ Manipulating Dictionaries
→ Dictionary Comprehension for Concise Creation
→ Creation of Sets
→ Manipulating Sets
→ Common Operations on Both Dictionaries and Sets
→ Hands-on Activity

→ Basic Operations on Lists
→ Demonstration of List Manipulation Techniques
→ Slicing and Indexing in Lists
→ List Comprehension for Concise and Readable Code
→ Tuples Creation
→ Basic Operations on Tuples
→ Slicing and Indexing in Tuples
→ Common Operations on Both Lists and Tuples
→ Hands-on Activity

→ Intro to Numpy and Creating Numpy Arrays
→ Basic Operations on Arrays
→ Indexing and Slicing
→ Reshaping, Stacking, and Splitting
→ Iteration, Filtering, and Boolean Indexing
→ Image Processing Using Numpy and Matplotlib
→ Hands-on Activity

→ Data Structure in Pandas
→ Creating Data frame and Loading Files
→ Data Exploration (EDA)
→ Creating and Saving Basic Plots Using Matplotlib
→ Creating Statistical Plots Using Seaborn
→ Exploring Relationships in Data: Pair Plot and Heat Map
→ Hands-on Activity

→ Define Statistics and Its Importance
→ Types of Data: Categorical and Numerical
→ Inferential and Descriptive Statistics
→ Measure of Central Tendency: Mean, Median, Mode
→ Measure of Dispersion: Variance and Standard Deviation

Certificate

Secure your career with an industry-recognized certificate that validates your expertise in Data Science and AI, you will also be certified by IBM which will further boost your credibility, enhance your resume, and open the doors to limitless career opportunities

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Professionals at Your Service

Vikas Singh
Cyber Security expert

Vivek Singh has exposure to many Indian tech companies like HCL, Tech-Mahendra, and many more, He has handled many Network security and cybersecurity projects.

Ravi Singh
Performance Marketer

Ravi has got more than 5 years of experience in Performance marketing he has handled more than 50cr budget for various realestate and education brands.

Amar P
Sr. Performance Marketer

Having more than 14 years of experience in Digital marketing, have managed agencies and have handled domestic and international brands with budget capacity as high as 100 million US dollars.

Ankush P
AI engineer

Ankush is an AI engineer, IIIT graduate, and GATE-qualified professional currently working in an AI firm. he has expertise in Lang Chain, Llama Index framework, and agentic.

Divya Bansal
Research Analyst

Divya has extensive work experience of more than 8 years in the research industries like IPSOS, AC Nielsen, and many more, She has handled research work for many organizations.

A Vasisht
Senior Data Scientist

A. Vasisht is a seasoned Senior Data Scientist with over 10 years of experience, having worked with leading organizations such as Qatar Development Bank, Ernst & Young, Optum, and several other multinational firms.

FAQ’s

This course is ideal for students, professionals, and Data enthusiasts aspiring to build a career in data science, machine learning, or artificial intelligence.

Not mandatory. The course covers foundational programming in Python, making it suitable for beginners.

You will learn Python programming, Business Analytics, data analysis, Power BI, Tableau, SQL, machine learning concepts, natural language processing (NLP), time series analysis, and more, along with hands-on projects.

The course is divided into 26 modules, covering basics to Mid-advanced level topics in data science and AI, including tools like Python, Power BI, Tableau, and more.

After completing the course, you can pursue roles like Data Scientist, Data Analyst, Machine Learning Engineer, Business Analyst, and more.

Student feedback and experiences

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