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:
Python and its Modules:
- 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)
SQL and Commands:
-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
Excel:
- 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
Power BI:
- 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.