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Rated as 4.9/5

Generative AI & Business Analytics

Generative AI & Business Analytics

INR 14,000.00
INR 29,000.00 INR 14,000.00
-51% OFF Sold out

Master Generative AI and Business Analytics with guidance from industry experts in this in-depth course. Develop advanced skills in Generative AI, Prompt Engineering, Python, SQL, and other key areas. Leverage cutting-edge AI techniques to extract valuable business insights, optimize decision-making, and drive transformative innovation across your organization.

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  • 3 Months Program

    @ 10 hours a week

  • Skill Level Required

    Beginner

  • 4.9 / 5

    298 Reviews

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What you'll learn

  • Introduction to Data

    Basic descriptive statistics • Quantitative data visualization • Forecast modeling in spreadsheets • Data visualization in spreadsheets • Professional presentations • Finance metrics • Marketing metrics • Data validation in spreadsheets • Categorical data visualization • Inferential statistics • Chart types • Sales metrics • Growth metrics

  • Generative AI

    • Text-Based • Image-based • Speech-Based • Prompt Engineering • Introduction to LLM

  • Using SQL for Data Analysis

    SQL aggregations • SQL joins • SQL queries • SQL subqueries • SQL window functions

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What you'll learn

    Program Information

      Module 1: Introduction to Data

      Descriptive Statistics I

      Learn data types, measures of center, and the basics of mathematical notation.

      Descriptive Statistics II

      Learn a common visual method for quantitative data, measures of spread, and the difference between descriptive and inferential statistics

      Spreadsheets: Getting Started

      • Learn about the keys steps of the data analysis process.
      • Use cell referencing and menu shortcuts.

      Spreadsheets: Manipulate Data

      • Sort and filter data.
      • Use text and math functions.
      • Split columns and remove duplicates.

      Spreadsheets: Analyze Data

      • Summarize data with aggregation and conditional functions.
      • Use pivot tables and lookup functions.

      Spreadsheets: Visualize Data

      • Build data visualizations for quantitative and categorical data.
      • Create pie, bar, line, scatter, histogram, and boxplot charts.
      • Build professional presentations.

      Metrics

      • Become familiar with business metrics used by business analysts in the area of marketing, sales, growth, engagement, and financial analysis.
      • Calculate and interpret key performance metrics.
      • Calculate metrics and create plots to visualize metrics in Excel.

      Excel Modelling

      • Understand the fundamentals of sales and financial forecasting models.
      • Create forecasting models using advanced lookup and data validation tools (INDEX, MATCH, OFFSET) in Excel.

      Module 2: SQL for Data Analysis

      Basic SQL

      • Become fluent in basic SQL commands including SELECT, FROM, WHERE and corresponding logical operators.

      SQL Joins

      • Combine data tables using SQL joins to to answer more complex business questions.

      SQL Aggregations

      • Aggregate data in SQL including COUNT, SUM, MIN, and MAX.
      • Write CASE and DATE functions, as well as work with NULL values.

      Advanced SQL Lessons

      • Use subqueries, also called CTEs, in a number of different situations.
      • Use window functions including RANK, NTILE, LAG, LEAD new functions along with partitions to complete complex tasks.
      • Clean data, optimize queries, and write advanced JOINs.

      Module 3: Master Generative AI

      Fundamentals of Programming in Generative AI

      Transformers

      • Combine data tables using SQL joins to to answer more complex business questions.

      BERT

      • Aggregate data in SQL including COUNT, SUM, MIN, and MAX.
      • Write CASE and DATE functions, as well as work with NULL values.

      GPT

      • Use subqueries, also called CTEs, in a number of different situations.
      • Use window functions including RANK, NTILE, LAG, LEAD new functions along with partitions to complete complex tasks.
      • Clean data, optimize queries, and write advanced JOINs.

      Introduction to LLM

      • Use subqueries, also called CTEs, in a number of different situations.
      • Use window functions including RANK, NTILE, LAG, LEAD new functions along with partitions to complete complex tasks.
      • Clean data, optimize queries, and write advanced JOINs.

      What will You Get?

      • Gain knowledge of the systematic problem-solving process and steps.
      • Learn the basics of how Gen AI and Business Analyst works.
      • Organise your code and orchestrate different tools and utilities.
      • How to work on large projects
      • Research and improve your coding
      • Course Completion Certificate

      Testimonials from our Students

      • Ravi Kumar - Data Scientist

        The Advanced AI Certification course helped me enhance my knowledge and skills in AI algorithms. It provided a solid foundation and practical insights to develop intelligent solutions. I highly recommend this course to anyone looking to excel in the field of AI.

      • Neha Sharma - AI Researcher

        I found the Advanced AI Certification course to be comprehensive and well-structured. It covered a wide range of topics, including mathematical foundations and coding skills. The live coding sessions were especially beneficial in understanding the practical application of AI concepts.

      • Ajay Patel - ML Engineer

        Taking the Advanced AI Certification course was a game-changer for my career. It equipped me with the necessary tools and knowledge to create smart applications. The mentor's expertise and guidance during the live coding sessions were invaluable. I'm grateful for this opportunity.

      • Aarti Desai - AI Consultant

        The Advanced AI Certification course provided me with a strong understanding of AI algorithms and their applications. It gave me the confidence to tackle complex AI projects. The course materials and resources were excellent, and the support from the mentor was exceptional.

      • Anil Gupta - Data Analyst

        Enrolling in the Advanced AI Certification course was one of the best decisions I made. The course covered all the essential aspects of AI, from programming languages to algorithm design. The practical exercises and live coding sessions gave me hands-on experience, which greatly benefited my learning journey.

      • Pooja Singh - AI Developer

        The Advanced AI Certification course exceeded my expectations. It provided a comprehensive understanding of AI concepts and technologies. The mentor's expertise and the interactive live coding sessions helped me gain practical skills and insights. This course has undoubtedly accelerated my career growth.

      Knowledge Center

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      What do I need to know about this course

      Can I get a certificate after Generative AI & Business Analytics?

      Yes, you will get a certificate of completion that you can use to showcase your skills and knowledge to potential employers. After completing the course, you will be eligible for the internship.

      What are the prerequisites for learning this course?

      The prerequisites for an Generative AI & Business Analytics course can vary depending on the course provider, but a basic understanding of computer science, mathematics, and programming is generally recommended.

      What kind of job can I get after completing this  course?

      After completing an Generative AI & Business Analytics course, you can potentially work as a data scientist, machine learning engineer, or AI specialist in various industries such as finance, healthcare, marketing, and more.

      What type of assignments will I need to complete this course?

      Assignments depend on the curriculum, but typically, you will be required to complete quizzes, case studies, and projects to demonstrate your understanding of the course.