Data Science and AI

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Data Science and AI

6 Months

Course Duration

14 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

→ course insight
→ highlights of how DS and AI can built future
→ ABC of DS and AI
→ What is AI and facts about AI
→ Various ways of solving problems in DS
→ how to become an effective Data scientist

→ Course module details
→ Module assignments and expectations

→ What is Excel and Fundamentals of excel basics
→ Excel formulas
→ Sorting and Filtering

→ Pivots
→ Dashboarding in Excel
→ work on multiple sheets

→ Data split
→ DAX Syntax and Functions
→ Time and Data functions
→ DAX Features
→ Combinations charts (dual axis charts)
→ Custom Visualization-Filter pane, Slicer

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

→ Overview of Python
→ What are Identifiers and keywords
→ Operators in Python
→ Hands-on Activity

→ Introduction to Data Modeling
→ Schema Database
→ Sorting Data concepts
→ IN, OR, AND, NOT- all filtering concepts
→ Aggregate Functions and deep concepts
→ Grouping Data with Group By
→ Filtering Grouped Data with Having
→ Understanding Subqueries and Their Types
→ Concepts of inner Join, Left Join, Right Join, Full Outer Join
→ Hands-on Activity

→ Loop control system include Break, Continue, and Pass
→ Calling Function
→ Function Parameters and Return Values
→ Advanced Functions
→ Default Values and Variable-Length Arguments
→ 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
→ Indexing and Slicing
→ Iteration, Filtering, and Boolean Indexing
→ Numpy and Matplotlib
→ Hands-on Activity

→ Data Structure in Pandas
→ Loading files and data base creation
→ Basic Plots on Matplotlib
→ Creating Statistical Plots Using Seaborn
→ Pair Plot and Heat Map establishing Relationship
→ Hands-on Activity

→ Define Statistics and Its Importance
→ Central limit theorem
→ Inferential and Descriptive Statistics
→ Measure of Central Tendency: Mean, Median, Mode

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. Vasishta is a seasoned Senior Data Scientist with over 10 years of experience, having worked with leading organisations such as Adidas, Ernst & Young, and several other multinational firms.

Arnab Ganguli
Marketing and AI expert

Arnab Ganguli is a seasoned marketing and growth leader with 20+ years of experience spanning management, engineering, and growth marketing. He specializes in product marketing, go-to-market strategy, customer lifecycle management, and B2B growth. A Symbiosis alumnus, Arnab is also a passionate mentor who has guided 200+ professionals and actively advocates lifelong learning, digital transformation, and financial literacy.

Saloni Singhal
Business Manager

Alumni of IIM (Indian Institute of Management) Kashipur, Saloni Singhal is a Faculty Member with expertise in Statistics, Analytics, Business Management, and Research. A graduate in Mathematics and Statistics from Banaras Hindu University, she has worked with WTW, Invest India, Great Learning, YES BANK, and Unstop. She specializes in Statistics, Predictive Analytics, Data Mining, Market Research, Power BI, Tableau, and career mentoring, combining academic expertise and industry experience to deliver practical, data-driven learning and business insights.

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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