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    Data Analytics Course

    BY
    IBM via Intellipaat

    Brochure Enquire
    Mode

    Online

    Fees

    ₹ 85044

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 85,044
    certificate availability

    Yes

    certificate providing authority

    IBM +1 more

    The syllabus

    Introduction to Data Analytics

    • Module 01 – Introduction to Data Analytics

    SQL for Data Analysis

    • Module 01 – Introduction to SQL
    • Module 02 – Database Normalization and Entity Relationship Model
    • Module 03 – SQL Operators
    • Module 04 – Working with SQL: Join, Tables, and Variables
    • Module 05 – Deep Dive into SQL Functions
    • Module 06 – Working with Subqueries
    • Module 07 – SQL Views, Functions, and Stored Procedures
    • Module 08 – Deep Dive into User-defined Functions
    • Module 09 – SQL Optimization and Performance
    • Module 10 – Advanced Topics
    • Module 11 – Managing Database Concurrency
    • Module 12 – Programming Databases Using Transact-SQL
    • Module 13 – Microsoft Courses: Study Material

    Python for Data Science

    • Module 01 – Introduction to Data Science using Python
    • Module 02 – Python basic constructs
    • Module 03 – Maths for DS-Statistics & Probability
    • Module 04 – OOPs in Python (Self paced)
    • Module 05 – NumPy for mathematical computing
    • Module 06 – SciPy for scientific computing (Self-paced)
    • Module 07 – Data manipulation
    • Module 08 – Data visualization with Matplotlib
    • Module 09 – Machine Learning using Python
    • Module 10 – Supervised learning
    • Module 11 – Unsupervised Learning
    • Module 12 – Python integration with Spark (Self paced)
    • Module 13 – Dimensionality Reduction
    • Module 14 – Time Series Forecasting

    Tableau Desktop 10

    • Module 01 – Introduction to Data Visualization and The Power of Tableau
    • Module 02 – Architecture of Tableau
    • Module 03 – Charts and Graphs
    • Module 04 – Working with Metadata and Data Blending
    • Module 05 – Advanced Data Manipulations
    • Module 06 – Working with Filters
    • Module 07 – Organizing Data and Visual Analytics
    • Module 08 – Working with Mapping
    • Module 09 – Working with Calculations and Expressions
    • Module 10 – Working with Parameters
    • Module 11 – Dashboards and Stories
    • Module 12 – Tableau Prep
    • Module 13 – Integration of Tableau with R

    Business Analyst

    • Module 01 – Introducing business analyst
    • Module 02 – Understanding business needs
    • Module 03 – Project management
    • Module 04 – Techniques used by business analysts
    • Module 05 – Software project methodologies
    • Module 06 – UML with Microsoft Visio

    Data Analytics Capstone Project

    • Module 01 – Data Analyst Capstone

    Power BI

    • Module 01 – Introduction To Power BI
    • Module 02 – Data Extraction
    • Module 03 – Data Transformation – Shaping & Combining Data
    • Module 04 – Data Modelling & Dax
    • Module 05 – Data Visualization With Analytics
    • Module 06 – Power BI Service (cloud), Q & A And Data Insights
    • Module 07 – Power BI Settings, Administration & Direct Connectivity
    • Module 08 – Embedded Power BI With API & Power BI Mobile
    • Module 09 – Power BI Advance & Power BI Premium

    Statistics and Probability

    • Module 01 – Information of Statistics
    • Module 02 – Data Conversion
    • Module 03 – Terms of Statistics
    • Module 04 – Plots
    • Module 05 – Statistics & Probability
    • Module 06 – Distributions
    • Module 07 – Sampling
    • Module 08 – Tables & Analysis

    Advanced Excel

    • Module 01 – Entering Data
    • Module 02 – Referencing in Formulas
    • Module 03 – Name Range
    • Module 04 – Understanding Logical Functions
    • Module 05 – Getting started with Conditional Formatting
    • Module 06 – Advanced-level Validation
    • Module 07 – Important Formulas in Excel
    • Module 08 – Working with Dynamic table
    • Module 09 – Data Sorting
    • Module 10 – Data Filtering
    • Module 11 – Chart Creation
    • Module 12 – Various Techniques of Charting
    • Module 13 – Pivot Tables in Excel
    • Module 14 – Ensuring Data and File Security
    • Module 15 – Getting started with VBA Macros
    • Module 16 – Ranges and Worksheet in VBA
    • Module 17 – IF condition
    • Module 18 – Loops in VBA
    • Module 19 – Debugging in VBA
    • Module 20 – Dashboard Visualization
    • Module 21 – Principles of Charting
    • Module 22 – Getting started with Pivot Tables
    • Module 23 – Statistics with Excel

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