Data analytics involves examining raw data with the purpose of drawing conclusions about that information. It’s a multi-disciplinary field that combines statistical methods, computational techniques, and domain knowledge to transform data into actionable insights. This process helps organizations make data-driven decisions, predict future trends, and optimize performance.

SQL

Tools: Oracle
Topics:

  • Introduction to SQL
  • Introduction to databases
  • Install a database engine
  • Data types
  • Operators
  • Case manipulation functions
  • Character manipulation functions
  • Date functions
  • Null functions
  • Number functions
  • General functions
  • Aggregate functions/group functions
  • Analytical functions
  • Data definition language commands
  • Data manipulation language commands
  • Transaction control language commands
  • Data query language commands
  • Joins
  • Constraints
  • Set operators
  • View
  • Materialized view
  • Sub-queries
  • Pseudo columns

Python

Topics:

  • Introduction
  • Literate Programming
  • Anaconda Installation Procedure
  • Jupyter Notebook Environment
  • Python Basics (Print statement in Python)
  • Strings
  • Python Functions
  • Conditional Statements
  • Iteration
  • Lists
  • Tuples
  • Dictionaries
  • Packages and Modules
  • Regular Expressions
  • File Handling
  • File Data Processing
  • Sets
  • Functional Programming
  • Maps in Python
  • Filters in Python
  • Lambdas in Python
  • Numpy
  • Pandas
  • Matplotlib

Tableau

Topics:

  • Tableau interface demo
  • Tableau Products
  • Tableau Desktop
  • Data types in Tableau
  • Types of Connection
  • Dimension and measures
  • Tableau file extension
  • Set, Parameter, Group
  • Bin, Hierarchy, Combine
  • Sorting, Types of Axis, Maps
  • Filters
  • Quick Table Calculation
  • Analytics Functions
  • Number Functions
  • Aggregate Functions
  • Logical Functions
  • String Functions
  • Table Calculation Functions
  • Window Functions
  • Date Functions
  • LOD-Level of Detail
  • Types of Charts
  • Dashboard Functions
  • Dashboard Actions
  • Data Modeling
  • Tableau Server/Online
  • Embedded Data Source
  • Published Data Source
  • Different site roles
  • User controls
  • RLS (Row Level Security)
  • Alert, Subscription, Metrics
  • Empty Extract
  • Real time Scenarios
  • Dashboard Creation From Scratch
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    Power BI

    Tools: Microsoft Power BI

    • M Query
    • Power Query Editor
    • Data types
    • Column Tracking
    • Split columns
    • Choose column
    • Keep/Remove Rows
    • Append Queries
    • Duplicates Queries
    • Creating Dim Table
    • Join Kind
    • Merge Queries
    • Join
    • Extract
    • Format
    • Functions
    • Data Modeling
    • DAX Functions
    • Data Types
    • Basic Functions
    • Date Function
    • Aggregation Functions
    • Logical Function
    • Filter Function
    • Time Intelligence Function
    • Information Function
    • POWER BI VISUALIZATION:
    • Dashboards
    • Formatting
    • POWER BI SERVICE

     

    Course Benefits

    • Hands-On Experience: Practical exercises and real-world projects.
    • Industry-Relevant Skills: Learn tools and techniques used by professionals in the industry.
    • Certification: Receive a course completion certificate from SUCCESSCODE TECHNOLOGIES.

    Invest in your future today and start your journey into the world of data analytics. The possibilities are endless, and the insights you’ll uncover can change the way you see and interact with the world.

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      How to Choose the Right Data Analytics Course

      1. Accreditation and Reputation: Look for courses offered by reputable institutions or accredited providers. Check reviews and testimonials to gauge the quality of the course.

      2. Curriculum: Ensure the curriculum covers essential topics and tools relevant to your career goals. Look for courses that offer a balance of theoretical knowledge and practical skills.

      3. Instructor Expertise: Qualified instructors with industry experience can provide valuable insights and mentorship. Research their backgrounds and teaching styles.

      4. Flexibility: Depending on your schedule and learning preferences, consider whether the course is offered online, in-person, or in a hybrid format. Flexibility can be key to balancing coursework with other commitments.

      5. Cost and Duration: Evaluate the cost of the course relative to your budget and the duration of the program. Some courses may offer financial aid or payment plans.

      Invest in your future today and start your journey into the world of data analytics. The possibilities are endless, and the insights you’ll uncover can change the way you see and interact with the world.

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