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Career Path - Business Analyst

Become a Business Analyst. Learn to improve existing business processes, gather & document business requirements, write business-to-technical specs.
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Save 68% Offer ends on 31-Oct-2024
Course Duration: 120 Hours
Preview Career Path - Business Analyst course
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Courses included in the Business Analyst Career Path Program by Uplatz:

1) Business Intelligence and Data Analytics

2) MS Excel

3) Google Sheets

4) Fundamentals of Project Management

5) Product Management

6) Microsoft Project (beginner)

7) Microsoft Project (basic to advanced)

8) Tableau

9) Power BI

10) SAP BPC (Business Planning and Consolidation)

 

Who is Business Analyst

Business Analysts, have emerged to have a key role in recent business scenarios. Some people think that the role of a Business Analyst is to make money for the organization, which may not be true in direct context. But indirectly, the action and decision taken by Business Analysts do leave an impact on the financial prospects of the organization. A primary job responsibility of Business Analyst is to communicate with all stakeholders & to elicit, analyze and validate the requirements for changes to business processes, information systems, and policies.

A business analyst plays a crucial role in an organization by bridging the gap between business objectives and technology solutions. Their primary responsibility is to analyze business processes, systems, and strategies to identify areas for improvement and provide recommendations for enhancing efficiency, productivity, and profitability.

 

Here are some common roles and responsibilities of a business analyst:

1. Requirements Gathering: Business analysts are responsible for understanding and documenting the business requirements of stakeholders. They conduct interviews, workshops, and meetings to gather information about current processes, pain points, and desired outcomes.

2. Analysis and Documentation: They analyze the gathered requirements, break them down into manageable components, and document them in a clear and concise manner. This includes creating business requirement documents (BRDs), functional specifications, use cases, process flows, and other relevant documentation.

3. Stakeholder Management: Business analysts work closely with stakeholders, including business users, subject matter experts, project managers, and developers. They act as a liaison between different parties, ensuring effective communication, managing expectations, and addressing concerns or conflicts.

4. Process Improvement: They identify areas of inefficiency or bottlenecks in existing business processes and propose improvements or optimizations. This may involve reengineering processes, suggesting automation solutions, or implementing best practices to enhance overall productivity and cost-effectiveness.

5. Solution evaluation and alignment with requirements: Business analysts collaborate with technical teams to design solutions that align with business requirements. They evaluate available options, assess feasibility, and make recommendations for software applications, systems, or technologies that can address the identified needs.

6. Testing and Quality Assurance: They assist in defining test strategies, test plans, and test cases to ensure that the developed solution meets the business requirements. Business analysts participate in system testing, user acceptance testing (UAT), and may coordinate with stakeholders to gather feedback and incorporate necessary changes.

7. Change Management: Business analysts help manage the transition from current processes to new solutions. They facilitate training sessions, create user documentation, and provide support to end-users during the implementation phase. They also assist in change impact analysis and risk management.

Course/Topic 1 - Business Intelligence and Data Analytics - all lectures

  • In this lecture session we discuss about Bi concepts, examples and application of business intelligence and data analytics and also cover other concepts of BI.

    • 14:48

  • In this lecture session we learn about basic concepts of BI and also cover factors of business intelligence in brief.

    • 19:22

  • In this lecture session we learn about data warehouse data access and data dashboarding and also cover presentation in BI.

    • 24:10

  • In this lecture session we learn about product database, advertise database and customer demographic database and also cover data analyst concepts.

    • 19:54

  • In this lecture session we learn about basic introduction of business intelligence and also cover factors of business intelligence in brief.

    • 31:10

  • In this lecture session we learn about introduction of predictive modeling and also cover functions of predictive modeling in brief.

    • 1:05:08

  • In this lecture session we learn about data related to customer services and also talk about customer relation databases in brief.

    • 32:37

  • In this lecture session we learn about introduction of NoSQL and also cover basic functions of NoSQL in business intelligence.

    • 33:46

  • In this lecture session we learn about graph stores and also talk about the advantages and disadvantages of graph stores in BI.

    • 25:52

  • In this lecture session we learn about hierarchical clustering in business intelligence and also talk about clustering factors in BI.

    • 29:58

  • In this lecture session we learn about introduction of salesforce in business intelligence and also talk about some basic uses of salesforce.

    • 34:25

  • In this lecture session we learn about introduction to NLP and also cover what is natural language processing in artificial intelligence.

    • 18:30

  • In this lecture session we learn about natural language processing speech to text conversion and also cover the importance of natural language processing.

    • 25:22

  • In this lecture session we learn about introduction of apache server in business intelligence and also talk about basics of apache server.

    • 44:24

  • In this lecture session we learn about deep drive into business intelligence and also talk about factors or deep drive in business intelligence.

    • 30:54

  • In this lecture session we learn about data warehousing in business intelligence and data analytics and also talk about factors and features of data warehousing.

    • 39:54

  • In this lecture session we learn about types of data in business intelligence and also talk about different types of data in BI.

    • 25:07

  • In this lecture session we learn about mobile BI and also talk about open source BI software replacing vendor offering.

    • 39:18

  • In this lecture session we learn about real time BI in business intelligence and also talk about factors of real time BI in brief.

    • 1:35:17

  • In this lecture session we learn about data analytics comprehensively and also talk about functions of data analytics.

    • 23:43

  • In this lecture session we talk about data analytics vs business analytics and also talk about the importance of data analytics.

    • 41:04

  • In this lecture session we learn about Embedded analytics and also talk about functions of Embedded analytics in data analytics.

    • 1:02:55

  • In this lecture session we learn about collection analytics and also cover the importance of collection analytics.

    • 59:03

  • In this lecture session we learn about survival analytics and also cover duration analytics in brief.

    • 29:35

  • In this lecture session we learn about machine learning techniques and also cover the importance and factors of machine learning techniques in business intelligence.

    • 37:34

  • In this lecture session we learn about geospatial predictive analytics and also talk about functions of geospatial predictive analytics in business intelligence.

    • 1:01:31

  • In this lecture session we learn about cohort analysis in data analyst and we also cover functions and importance of cohort analysis.

    • 21:36

  • In this lecture session we learn about data mining in business intelligence and also talk about data mining functions and why we need data mining in business intelligence.

    • 45:40

  • In these lecture sessions we learn about anomaly detection and also talk about functions of anomaly detection in brief.

    • 1:00:36

  • In these lecture sessions we learn about statistically sound association and also talk about factors of statistically sound association in business intelligence.

    • 31:29

  • In this lecture session we learn about cluster analysis. We’ll cover all types of cluster analysis in brief and also cover the importance of cluster analysis in business analysis.

    • 36:21

  • In this lecture session we learn about DBSCAN in business intelligence and also talk about DBSCAN functions and importance.

    • 59:58

  • In this lecture session we learn about regression models in business intelligence and also talk about the function of regression models.

    • 31:57

  • In this lecture session we learn about extraction based summarization in business intelligence and also cover all types of summarization in data analyst.

    • 10:57

  • In this lecture session we learn about machine learning in BI and also talk about factors and importance of machine learning in brief.

    • 1:00:50

  • In this lecture session we learn about machine learning vs BI we also discuss the basic difference between machine learning and business intelligence.

    • 1:15:37

  • In this lecture session we learn about how ml can make BI better and also talk about ml basic functions.

    • 1:18:01

  • In this lecture session we learn about data warehousing and also talk about how we manage data warehousing in business intelligence.

    • 18:28

  • In this lecture session we learn about data warehousing in business intelligence and data analytics and also talk about factors and features of data warehousing.

    • 29:22

  • In this lecture session we learn about data mart in business intelligence and also talk about data mart function.

    • 32:40

  • In this lecture session we learn about data dimensions in business intelligence and also cover all types of data dimension in BI.

    • 30:31

  • In this lecture session we learn about data dimension in business intelligence and also cover functions and importance of data dimension.

    • 24:02

  • In this lecture session we learn about data vault modeling in business intelligence and also cover different types of vault modeling in brief.

    • 29:14

  • In this lecture session we learn about links and satellites and also cover the importance and factors of links and satellites in business intelligence.

    • 28:59

Course/Topic 2 - Microsoft Excel - all lectures

  • Lecture 1 - Introduction to Microsoft Excel

    • 19:48

  • Lecture 2 - Key in Data

    • 12:46

  • Lecture 3 - Font and Alignment

    • 13:52

  • Lecture 4 - Cut Paste and Format Painter

    • 07:20

  • Lecture 5 - Control plus Keys

    • 23:40

  • Lecture 6 - Home Commands and Clipboard

    • 20:09

  • Lecture 7 - File Tab

    • 12:49

  • Lecture 8 - Sorting and Filtering

    • 26:09

  • Lecture 9.1 - Basic Formulas

    • 23:00

  • Lecture 9.2 - Text Formulas

    • 32:49

  • Lecture 10.1 - VLookup - part 1

    • 26:39

  • Lecture 10.2 - VLookup - part 2

    • 06:20

  • Lecture 10.3 - HLookup

    • 14:22

  • Lecture 10.4 - This is a bonus session on Vlookup from a different tutor

    • 10:27

  • Lecture 10.5 - This is a bonus session on Vlookup from a different tutor

    • 05:02

  • Lecture 11.1 - Pivot Tables - part 1

    • 15:16

  • Lecture 11.2 - Pivot Tables - part 2

    • 07:14

  • Lecture 11.3 - Pivot Tables - part 3

    • 23:38

  • Lecture 11.4 - Pivot Tables - part 4

    • 11:47

  • Lecture 12.1 - Charts - part 1

    • 09:05

  • Lecture 12.2 - Charts - part 2

    • 21:01

  • Lecture 12.3 - Column Charts

    • 30:28

  • Lecture 12.4 - Bar Charts

    • 09:07

  • Lecture 12.5 - Line Charts

    • 09:57

Course/Topic 3 - Google Sheets course - all lectures

  • Lesson 1 - Introduction to Google Sheets

    • 02:31

  • Lesson 2 - Menu Options - File

    • 08:40

  • Lesson 3 - Menu Options - Edit

    • 03:30

  • Lesson 4 - Menu Options - View

    • 04:49

  • Lesson 5 - Menu Options - Insert

    • 04:59

  • Lesson 6 - Menu Options - Format

    • 10:21

  • Lesson 7 - Menu Options - Data and more

    • 18:17

  • Lesson 8 - Entering Data and Editing

    • 07:12

  • Lesson 9 - Functions - Numeric Function

    • 15:24

  • Lesson 10 - Functions - Text Function

    • 30:38

  • Lesson 11 - Functions - Date Functions

    • 06:21

  • Lesson 12 - Charts and Conditional Formatting

    • 22:12

  • Lesson 13 - Pivot Tables

    • 23:21

  • Lesson 14 - Saving - Sharing

    • 06:22

Course/Topic 4 - Project Management Fundamentals - all lectures

  • In this first video tutorial on Project Management, you will learn an Introduction to Project Management, its history, benefits, an illustration to Gantt Chart, a view on some of the International standards of practicing Project Management, an overview of what exactly is a project, its relationship with General Project Management practices, Triple Constraints Theory and the role of a Project Manager and its characteristics in Project Management.

    • 39:36

  • In this second session of Project Management, you will understand what is Process Oriented Project Management, Project Processes and its categories, what is Project Management and Product Oriented processes and an overview of different process groups and its knowledge areas.

    • 21:23

  • In this lecture, you will learn what is a process in Project Management and its different stages in a Project Life cycle, how a process is linked to different process groups. Also, you will learn about the different Knowledge Areas related to a Process in Project Management.

    • 28:19

  • In this video, you will learn about the Project Planning Process and Group Processes and the different processes involved in managing the Scope and Scheduled Constraints.

    • 26:25