BCIT World offers the best Data Analytics Course in Patna.Data Analytics, by name we can understand that it is the method to collect, analyse and sort the data in a sequence from which it can extract meaningful insights. BCIT World offers the Best Data Analytics Course in Patna, where you will get the practical as well as theoretical knowledge from basic to advanced levels of courses which will help you for your future career. Advanced Excel, Power BI, SQL, Tableau, and Python are the courses which are contained in this course. We have trained more than 1,000 students in the classroom and along with online classes. If you're looking for the best Data Analytics Institute in Patna, your search ends here.
If you are opting for the Data Analytics Courses then there are several reasons why to learn this course and the following are discussed below step-by-step:
Data Analytics Courses can be done by those who are eligible and understand the course outcomes. Below is the list of who can go for this course:
By opting for the data analytics course by the above list, they can grow in their future career, help make better decisions, and extract meaningful insight.s
There are a wide range of job offers available after completing the Data Analytics Course :
Completing the Data Analytics Course opens a wide range of jobs with various career paths in every sector from Data Scientist to Financial Analyst, which gives you the opportunities to solve problems find insights and make powerful and meaningful decisions in a diverse organisation.
If you are looking for the Best Data Analytics Training Institute in Patna, your search ends here. Join BCIT World for a free demo of our Data Analytics courses with a live project internship. Everyone is welcome to join!
The Data Analytics programs are designed to give you a very good practical learning experience and develop skills that will be very useful for your career.
| Sl.No. | Course Name | Duration |
|---|---|---|
| . | Data Analytics | 6 Months |
| 1 | Adv. Excel | 1 Month |
| . | Basic Excel | . |
| . | Conditional Formatting | . |
| . | Adv.Pivot Table | . |
| . | Power Pivot | . |
| . | Dashboard | . |
| . | Protect and Break Excel Password | . |
| . | Advance Paste Special | . |
| . | Error Handling | . |
| . | Power Query | . |
| . | Macro | . |
| . | Formula | . |
| . | Logical Function | . |
| . | Lookup Function | . |
| . | Sum Function | . |
| . | Count Function | . |
| . | Text Function | . |
| . | Date and Time Function | . |
| . | VBA | . |
| . | MIS Reporting | . |
| . | Data Visualization & Dashboard Design | . |
| . | 60 + Excel Project | . |
| . | Case Studies & Practical Projects | . |
| . | Intro Google Sheet & Office 365 | . |
| 2 | SQL & My SQL | 1 Month |
| . | Introduction | . |
| . | Data And Database | . |
| . | Database vs Data warehouse | . |
| . | DBMS | . |
| . | DBMS vs RDBMS | . |
| . | SQL vs My SQL | . |
| . | My SQL vs No SQL | . |
| . | Introduction to SQL & MY SQL | . |
| . | What is SQL | . |
| . | History of SQL | . |
| . | Introduction to MY SQL | . |
| . | MY SQL Installation | . |
| . | Database Connectivity | . |
| . | SQL Commands | . |
| . | MY SQL Management Studio | . |
| . | Connecting to MY SQL | . |
| . | DDL Command | . |
| . | DML Command | . |
| . | DQL Command | . |
| . | DCL / TCL Command | . |
| . | MY SQL CONSTRAINTS | . |
| . | MY SQL constraints | . |
| . | NULL constraint | . |
| . | Primary Key constraint | . |
| . | Foreign key constraint | . |
| . | Unique key constraint | . |
| . | Check & Default constraint | . |
| . | Operators | . |
| . | Arithmetic Operators | . |
| . | Comparison Operators | . |
| . | Logical Operators | . |
| . | Bitwise Operators | . |
| . | Set Operators | . |
| . | Special Operators | . |
| . | FUNCTIONS | . |
| . | Introduction to functions | . |
| . | Built in functions | . |
| . | Aggregate functions | . |
| . | String functions | . |
| . | Date functions | . |
| . | Ranking functions | . |
| . | User defined functions | . |
| . | Scalar Functions | . |
| . | SQL JOINS | . |
| . | Introduction to joins | . |
| . | Types of joins | . |
| . | Inner join | . |
| . | Left & Right outer join | . |
| . | Full & cross outer join | . |
| . | Self join | . |
| . | Implementing Transactions | . |
| . | Commit | . |
| . | Roll back | . |
| . | Save point | . |
| . | Views | . |
| . | Introduction to Views | . |
| . | Catalog Views | . |
| . | User defined Views | . |
| . | Create Alter and Drop Views | . |
| . | Partitioned Views | . |
| . | Indexed Views | . |
| . | TRIGGERS | . |
| . | Introduction to triggers | . |
| . | Types of triggers | . |
| . | Create Alter and Drop a trigger | . |
| . | DML Triggers | . |
| . | DDL Triggers | . |
| . | Logon Triggers | . |
| . | Use of Triggers | . |
| . | CLAUSES | . |
| . | From clause | . |
| . | WHERE clause | . |
| . | Relational operators and Wild Characters | . |
| . | Order By clause | . |
| . | Group By clause | . |
| . | Having Clause | . |
| . | In & Between Clause | . |
| . | Implementing Error Handling | . |
| . | Redirecting errors with TRY/CATCH | . |
| . | Creating error handling routines | . |
| . | Using THROW to pass an error messag | . |
| . | Project Work | . |
| . | 17 + Live Project Work | . |
| . | My SQL with Tableau & Power BI Live Project Work | . |
| 3 | Power BI | 1 Month |
| . | Introduction to BI | |
| . | Introduction to Power BI | . |
| . | Advantages and Scalable Options | . |
| . | Power BI Data Source Library | . |
| . | Power BI Architecture | . |
| . | Components of Power Bi | . |
| . | Power Bi vs Tableau | . |
| . | Building Blocks of Power Bi | . |
| . | Data Transformation | . |
| . | Overview of Power Query | . |
| . | Data Sources in Power Query | . |
| . | Connecting To a Data Sources | . |
| . | Query Query Ribbon | . |
| . | Clean and Transform | . |
| . | Merging and Appending | . |
| . | Basic & Adv Calculation | . |
| . | Close & Load | . |
| . | Power BI Desktop | . |
| . | Overview of Power BI Desktop | . |
| . | Data Sources in Power BI Desktop | . |
| . | Connecting To a Data Sources | . |
| . | Query Editor in Power BI | . |
| . | Power BI Ribbon | . |
| . | Diff. Chart | . |
| . | Diff. Maps | . |
| . | Table & matrix | . |
| . | Filter & Slicer | . |
| . | Shape & Picture | . |
| . | Bookmark | . |
| . | Report & Dahboard | . |
| . | 5 Live Project Dashboard | . |
| . | Data Analysis Expression | . |
| . | Overview of DAX | . |
| . | Why is DAX Important? | . |
| . | DAX Syntax | . |
| . | Context Interaction | . |
| . | Calculation Types | . |
| . | Calculated tables and Measures | . |
| . | DAX Operators | . |
| . | DAX Functions | . |
| . | Aggregate Functions | . |
| . | Logical Functions | . |
| . | Text Functions | . |
| . | Date Functions | . |
| . | Filter Functions | . |
| . | Related Functions | . |
| . | Power BI Project Work | . |
| . | Report vs Dashboard | . |
| . | Hr Analytics Dashboard | . |
| . | Hotel Booking Dashboard | . |
| . | Call Center Dashboard | . |
| . | Call Center Dashboard | . |
| . | Netflix Dashboard | . |
| . | Shapes,Text Boxes | . |
| . | Custom Visuals | . |
| . | Kpi Visuals | . |
| . | Z-Orders | . |
| . | Connectivity Modes | . |
| . | Excel Data in Power BI | . |
| . | Directly to SQL Azure | . |
| . | Data Caching and Refresh | . |
| . | Data Caching and Refresh | . |
| . | Power BI Service | . |
| . | Account integration | . |
| . | Workspace and Settings | . |
| . | Online Report Published | . |
| . | Online Report Share | . |
| . | Online Report and Dashboard Create | . |
| . | Online Report and Dashboard Create | . |
| . | Apps Create | . |
| . | auto refreshing | . |
| . | Live Project Work | . |
| 4 | Tableau | 2 Weeks |
| . | Intro Tableau | . |
| . | Tableau Desktop | . |
| . | Tableau Prep | . |
| . | Tableau Online | . |
| . | Data Visualization | . |
| . | Connectivity Modes | . |
| . | Tableau Calculation | . |
| . | Tableau Project Work | . |
| 5 | Python | 2 Months |
| . | Introduction to Python | |
| . | Data Types and Variables | . |
| . | Numeric data types | . |
| . | Strings and string manipulation | . |
| . | Lists, tuples, and dictionaries | . |
| . | Control Flow | . |
| . | Conditional statements | . |
| . | Looping structures | . |
| . | Break and continue statements | . |
| . | Functions | . |
| . | Defining and calling functions | . |
| . | Function parameters and return values | . |
| . | Scope and lifetime of variables | . |
| . | File Handling | . |
| . | Reading from and writing to files | . |
| . | Working with different file formats | . |
| . | Exception Handling | . |
| . | Understanding and handling exceptions | . |
| . | Using try, except, finally blocks | . |
| . | Object-Oriented Programming (OOPs) | . |
| . | Classes and objects | . |
| . | Inheritance, encapsulation, and polymorphism | . |
| . | Constructors and destructors | . |
| . | Modules and Packages | . |
| . | Creating and using modules | . |
| . | Python's standard library | . |
| . | Python Libraries/Frameworks | . |
| . | NumPy, Pandas | . |
| . | Database Interaction | . |
| . | Basic database concepts | . |
| . | SQLite, MySQL | . |
| . | Project Work | . |
| . | Testing and Debugging | . |
| 6 | Project Work | 1 Week |
| . | 5+ Live Company Project Work | . |
| . | Interview Preparation | . |
| . | CV Creation | . |