Develearn Technologies

VBA & Macros

• Introduction to VBA & Macros : Streamline your tasks with our VBA and Macros course, mastering the art of efficient programming in Microsoft Excel

Creating Invoices

• Introduction to Creating Invoices: Learn the art of efficient invoicing with our comprehensive course on creating professional and accurate invoices.

Visualizing Data & Charts

• Introduction to Visualizing Data & Charts :: Discover the power of data visualization with our Excel course, mastering the art of creating impactful charts and visualizing data effortlessly.

Pivot, Slicer, Timeline, what-if analysis

• Introduction to Pivot, Slicer, Timeline, what-if analysis :: Master dynamic data visualization and analysis in Excel with our course covering Pivot tables, Slicers, Timelines, and What-If analysis for advanced spreadsheet proficiency.

Functions

• Introduction to Functions :: Unlock the power of Excel with our comprehensive course on functions, mastering the tools that streamline data analysis and enhance spreadsheet functionality

DDL, DML, DQL, DCL, TCL

• Introduction to DDL, DML, DQL, DCL, TCL: Master the data realm with Excel: Learn DDL for database design, DML for data manipulation, DQL for querying, DCL for access control, and TCL for transaction management

SQL Clauses, Operators

• Introduction to SQL Clauses, Operators: Explore the power of SQL clauses and operators in this Excel course, unleashing the potential of data manipulation and analysis.

SQL Constraints

• Introduction to SQL Constraints: Master the power of SQL constraints in Excel with precision and efficiency in this comprehensive course.

Joints & Views

• Introduction to Joints & Views: Explore the seamless synergy of joints and views in Excel through our comprehensive course, unlocking powerful data organization and visualization capabilities.

SQL Functions

• Introduction to SQL Functions: Unlock the power of SQL Functions and seamlessly integrate Excel for efficient data manipulation in this comprehensive course.

Descriptive Statistics

• Introduction to Descriptive Statistics: The basics of the Python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.

Inferential Statistics

• Introduction to Inferential Statistics: The basics of the Python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.

Probabilty Distribution

• Introduction To Probability Distribution: The basics of the Python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.

Hypothesis Testing

• Introduction to Hypothesis Testing : The basics of the Python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.

Import Data

• Introduction to Import Data: The basics of the Python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.

Data Transformation

• Introduction to Data Transformation: The basics of the Python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.

Modelling Data Tables

• Introduction To Modelling Data Tables:

DAX Functions

• Introduction to DAX Functions :

Visualisation, Dashboards

• Introduction To Visualisation, Dashboards:

Core Python

• Introduction to Core Python : The basics of the Python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.

Advance Python

• Introduction to Advance Python: The basics of the Python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.

EDA

• Introduction To EDA:

Libraries

• Introduction to Libraries:

ML methodologies, Data preprocessing

• Introduction to ML methodologies , data preprocessing: Supervised Machine Learning utilizes labeled training data to enable algorithms to learn patterns and make predictions within the field of Machine Learning.

Supervise Machine Learning algorithms

• Introduction to Supervise Machine Learning algorithms: Supervised Machine Learning algorithms enable computers to learn patterns from labeled data, making predictions or decisions based on trained models.

Unsupervised Machine Learning algorithms

• Introduction to Unsupervised Machine Learning algorithms: Unsupervised Machine Learning algorithms aim to identify patterns and relationships within data without labeled guidance, allowing machines to autonomously discover hidden structures.

Scikit-learn

• Introduction to Scikit-learn: Scikit-learn: Empowering machine learning enthusiasts with a versatile and user-friendly library for building, training, and deploying predictive models.

Metrices

• Introduction to Scikit-learn: Metrices in machine learning quantify model performance, providing crucial insights through numerical evaluations of accuracy, precision, recall, and other key indicators.