DATA ANALYTICS (SQL + Advanced XL + Python For Data Analyst + Power BI )

Job Oriented Course for Data Analytics

Technologies Included in Data Analytics Course:-

• Oracle SQL 
• Advanced XL 
• Python For Data Analyst
• Power BI / Tableau

Duration of Training  :  40 hrs

Batch type  :  Weekdays/Weekends

Mode of Training  :  Classroom/Online/Corporate Training

Data Analytics  Training & Certification in Pune

Highly Experienced Certified Trainer with 10+ yrs Exp. in Industry

Realtime Projects, Scenarios & Assignments

COURSE CONTENT :

ORACLE 12C SQL 

SQL Basic 

WEEK – 1 :

1] Introduction to Oracle DB 12c 

Oracle Database 12c: Focus Areas, Fusion Middle-ware, Oracle Cloud, Services, Deployment Methods, RDBMS, Data Model, ER Diagram, Relation DB Terminology, SQL Statements and Development Environment, HR Schema Tables, DB Documentation. 

2] Retrieving Data using SQL SELECT statement 

Basic Select Statement, Arithmetic Expression, Defining Null values, Concatenation Operator & Literal, Duplicate Rows, Displaying table structure. Practice Overview. 

3] Restricting & Sorting Data 

Use of Where clause, Character Strings & Date Data, Comparison, Logical, Range, Pattern, & Other operators, Rules Precedence, Order By Clause, Substitution variables. Practice Overview 

WEEK – 2 :

4] Single Row Function & Customized Output 

SQL function, Single Row Function, Character/Case Functions, Number Functions, Nesting Function, Date Functions etc. Practice Overview. 

5] Conversion & Conditional Expressions 

Conversion Function, Implicit/Explicit Data Conversion, General Function with covering NVL, NVL2, NULLIF, COALESCE, Conditional Expression with Decode function and Case Expression. Practice Overview. 

6] Reporting Aggregated Data using Group Function 

Usages of Group function, Nesting Group Function, Creating Group Data, Restricting group data using Having Clause. Practice Overview. 

7] Displaying Data from Multiple Tables using Join 

Type of Joins, Explaining with Natural Join, Using Clause, On Clause, SQL 99 Syntax, Three-Way Join, Self Join, NonEqui Join, Inner Versus Outer Join, Cross Join etc. Practice overview. 

WEEK – 3 :

8] Using Sub-queries to solve queries 

Scenario to use Sub-query, Rules for Sub-queries, Type of Sub-queries, Single Row Sub-queries and Multi Row Sub-queries. Null value in Sub-query etc. Practice Overview.

SQL Advanced : 

9] Using Set Operator 

Set Operator Rules, Covering Set Operator as UNION, UNION ALL, INTERSECT, MINUS etc. Practice Overview. 

10] Managing Tables using DML      Statements 

Data Manipulation Language, Covering INSERT, UPDATE, DELETE & DB Transaction control using COMMIT, ROLLBACK, SAVEPOINT. Use of For update clause in SELECT Statement. 

11] Introduction to Data Definition Language 

Database Object, Naming Rules, Various Data Types, CREATE TABLE statement, Constraint guidelines, Defining constraints as NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY & CHECK etc. ALTER TABLE, DROP TABLE Statement. Create Table using Sub-query. Practice Overview. 

WEEK – 4 : 

12] Introduction to Data Dictionary Views

Data Dictionary Structure, How to use Data Dictionary, USER_OBJECTS, ALL_OBJECT, USER_CONSTRAININTS. TABLE Information, Column Information etc. Practice overview.

13] Creating Sequence, Synonyms & Indexes 

Importance of Sequence, Synonyms & Indexes. Defining Sequence, Synonyms & Indexes & DROP statement etc. Practice overview. 

14] Creating Views

What’s View? Advantage of Views, CRETAE Simple & Complex views, Rules for performing DML operation on views. Modifying & Removing a view etc. Practice Overview. 

15] Retrieving Data by using Sub-Query 

Multiple Column Sub-query, Column Comparison, Pair & Non Pair Sub-queries, Scalar  Sub queries, Co-related Sub-queries, Use of WITH clause. Practice Overview.

ADVANCED EXCEL 

1. Getting Started with Excel

• Understanding the Excel Interface
• Understanding the Menu System
• Understanding the Quick Access Toolbar
• Understanding Workbooks and Worksheets
• Understanding the Formula Bar
• Understanding the Status Bar
• Understanding the Navigation System of Excel
• Using shortcut menus and the Mini toolbar
• Creating new workbooks
• Using Save and Save as

2. Data Generation Techniques

• Exploring Data Entry and Editing Techniques
• Entering Data with Autofill
• Understanding Undo and Redo
• Adding Comments
• Flash Fill Data

3. Working on Formulas and Functions

• Creating Simple Formulas
• Copying Formulas to Adjacent Cells
• Working with Relative, Absolute and Mixed Referencing
• Using Sum and Average
• Using Text Functions
• Using Date Functions
• Using Lookup Functions
• Using Conditional Functions
• Using Logical Functions

4. Data Formatting and Presentation

• Basic Cell Formatting
• Data and Table Formatting
• Exploring Font Styles and Effects
• Adjusting Row Heights and Columns
• Working with alignment and Wrap Text
• Working with Borders
• Using conditional formatting
• Creating and using tables

5. Data Filtering and Management

• Filtering Data using Data Filter
• Advanced Filtering Techniques
• Organizing Data using Data Sort
• Custom Sorting Techniques

6. Working With Pivot Tables

• Creating a Branch wise and opened by Pivot
• Creating a Date Wise Pivot
• Creating a Count of Account Types Pivot
• Creating a Graph out of Pivot Data

Introduction to Python programming
Variables, data types, operators, and expressions
Control structures (if/else, loops)
Functions, modules, and packages
Data structures in Python
Lists, tuples, dictionaries, and sets
Indexing, slicing, and manipulating data structures
Python for data analysis
Reading and writing data from various formats (CSV, Excel, JSON, SQL)
Exploratory data analysis with Pandas library
Cleaning, transforming, and aggregating data

Predictive modeling and machine learning algorithms

Visualizing data with Matplotlib and Seaborn

evaluation and selection
Working with time series data
Case studies and projects
Analyzing real-world datasets and solving data-related problems
Developing data-driven insights and recommendations.