DATA APEX X

Introducing DATA APEX X, the ultimate data analytics course designed to empower individuals with the knowledge and skills needed to excel in the world of data analysis. Whether you're a beginner looking to start your journey in data analytics or an experienced analyst aiming to enhance your expertise, DATA APEX X offers a comprehensive curriculum that caters to all skill levels. Our course is carefully crafted with hands-on projects, real-world applications, and expert guidance to ensure that you not only grasp the fundamentals of data analytics but also develop the ability to tackle complex data challenges. Join DATA APEX X today and unlock the doors to a world of endless possibilities in the field of data science. Embrace the power of data with DATA APEX X and watch your data analysis aspirations come to life.


Join our course led by Dr. Dinesh Kumar Rajendran, an esteemed mentor from the NIT Srinagar, and embark on a transformative learning journey under his expert guidance.


The components explored in this course comprise:


   - Variables and Data Types

   - Lists, Tuples, and Dictionaries

   - Control Structures (if, else, loops)

   - Functions and Lambda Functions

   - NumPy and Arrays

   - Pandas for Data Manipulation

   - Matplotlib and Seaborn for Data Visualization

   - Data Cleaning and Preprocessing

   - Statistical Analysis with SciPy

   - Jupyter Notebooks for Interactive Analysis

   - Web Scraping (Beautiful Soup, Requests)

   - Working with APIs (Requests library)

   - File Handling (Reading/Writing Files)

   - Regular Expressions (re module)

   - DateTime and Time Series Analysis

   - Data Visualization with Plotly and Bokeh

   - Geospatial Data Analysis (GeoPandas)

   - Machine Learning Basics (Scikit-Learn)

   - Text Mining and Natural Language Processing (NLTK, spaCy)

   - Data Imputation and Handling Missing Values

   - Feature Scaling and Normalization

   - Exploratory Data Analysis (EDA) Techniques

   - Hypothesis Testing and Statistical Inference

   - Data Wrangling with dplyr (Python's pandasql library)


   -Basics of SQL (SELECT, FROM, WHERE)

   - JOINs and Relationships in Databases

   - Aggregation Functions (SUM, AVG, COUNT, etc.)

   - Filtering and Sorting Data

   - Subqueries and CTEs (Common Table Expressions)

   - Grouping and Window Functions

   - Indexes and Optimization

   - Database Design Principles

   - CASE Statements and Conditional Logic

   - Working with Dates and Time in SQL

   - Window Functions for Advanced Analytics

   - Indexing Strategies and Performance Tuning

   - Stored Procedures and User-Defined Functions

   - Triggers and Transactions

   - Recursive Queries

   - Database Security and Permissions

   - Materialized Views for Performance Optimization


   - Basic Excel Functions (SUM, AVERAGE, COUNT, etc.)

   - Data Formatting and Conditional Formatting

   - Creating Pivot Tables

   - Using Formulas (VLOOKUP, HLOOKUP, INDEX-MATCH)

   - Data Validation and Drop-down Lists

   - Charts and Graphs

   - Filtering and Sorting Data

   - Macros and VBA (Visual Basic for Applications)

   - Data Analysis ToolPak

   - What-If Analysis with Scenarios

   - Advanced Formulas (INDEX-MATCH-MATCH, OFFSET, etc.)

   - Array Formulas and Ctrl+Shift+Enter Techniques

   - Advanced Chart Customization

   - Using Power Query for Data Transformation

   - Data Analysis with Pivot Charts

   - Advanced VBA Programming and Automation

   - Data Consolidation from Multiple Sheets

   - Excel Web Queries for External Data

   - Excel Add-ins and Power Pivot

   - Excel Data Analysis with Solver


   - Connecting to Data Sources

   - Data Transformation and Modelling

   - DAX (Data Analysis Expressions) Language

   - Creating Visualizations (Charts, Graphs, Maps)

   - Custom Calculated Columns and Measures

   - Drill-through and Hierarchies

   - Dashboard Design and Layout

   - Power Query for Data Cleaning

   - Publishing and Sharing Reports

   - Row-level Security

   - Advanced DAX Functions (FILTER, ALL, CALCULATE, etc.)

   - Handling Multiple Data Sources in a Single Report

   - Custom Visualizations (R or Python visuals)

   - Drillthrough and Bookmarking

   - Advanced Data Modelling (Star Schema, Snowflake Schema)

   - Time Intelligence Functions in DAX

   - DirectQuery and Live Connection

   - Power BI Service Administration and Management

   - AI Integration and Analyse in Excel

   - Power BI Mobile App Features


Join us on this journey, and upon successful completion of the course, you will be awarded a certificate of course completion, personally signed by Dr. Dinesh Kumar Rajendran, further validating your achievement.


The price of this course is ₹19,999 only.


Payment Link will be shared with you after filling the below Google Form.


You can register for this course as shown below.