Program Overview

Are you ready to propel your career to new heights? Dive into the world of business analytics and project management with Digicrome's Advanced Certification Program. This specialized course is meticulously crafted to equip professionals with the skills and expertise required to excel in today's dynamic business environment.

Why Choose Digicrome's Advanced Certification Program?

Integration of Business Analytics and Project Management: In today's competitive landscape, the intersection of business analytics and project management is crucial for success. This program seamlessly integrates both domains, offering a comprehensive learning experience.

Industry-Relevant Curriculum: Our curriculum is designed by industry experts to align with the latest trends and best practices in business analytics and project management. Gain hands-on experience with tools and techniques used in real-world scenarios.

Key Highlights:

Comprehensive Coverage: From data analysis techniques to project planning and execution, our program covers a wide range of topics essential for business analytics and project management professionals.

Practical Learning: Dive deep into case studies, simulations, and practical exercises to reinforce theoretical concepts. Gain practical insights and develop problem-solving skills through real-world scenarios.

Expert Guidance: Learn from seasoned professionals and subject matter experts who bring years of industry experience to the classroom. Benefit from personalized guidance and mentorship throughout your learning journey.

Hands-On Projects: Apply your knowledge and skills to real-world projects, tackling challenges faced by organizations today. Build a portfolio of work that showcases your expertise and demonstrates your ability to deliver results.

Flexible Learning Options: Our program offers flexible learning options, allowing you to balance your studies with your professional and personal commitments. Access course materials online and engage with instructors and fellow students at your convenience.

Take Your Career to the Next Level:

With Digicrome's Advanced Certification Program in Business Analytics & Project Management, you'll gain the tools, knowledge, and confidence to drive business success. Prepare yourself for leadership roles, enhance your problem-solving abilities, and become a valuable asset to any organization.

Course Benefits:

Upon completing this course, you will be equipped to:

Make data-driven decisions with confidence: Utilize data insights to drive strategic business initiatives and optimize performance.

Manage projects like a pro: Plan, execute, and deliver projects seamlessly, ensuring success within budget and timeline constraints.

Become an inspiring leader: Cultivate the key leadership qualities to motivate, empower, and guide your team towards achieving its full potential.

Internship:

Gain hands-on experience and apply your newfound skills in a real-world setting through our 3-month internship program. You'll work on challenging projects, collaborate with industry experts, and gain valuable insights into the practical application of business analytics and project management concepts.

Who Should Attend:

This course is designed for professionals seeking to:

  1. Gain valuable data analysis skills
  2. Master project planning and management expertise
  3. Develop impactful leadership qualities

Prerequisites:

No prior experience is required. However, a foundational understanding of data analysis, project management, and leadership concepts would be beneficial.

Course Delivery:

This course is delivered through an engaging online format, featuring interactive lectures, informative reading materials, practical assignments, and collaborative discussion forums.

Course Assessment:

Your progress will be evaluated through a combination of assignments, participation in discussion forums, and a final job.

Enrollment:

To register for this transformative course, Submit full details course form page or contact page.

Invest in your future with our Business Analytics & Project Management course and unlock limitless career possibilities.

Don't miss this opportunity to advance your career and unlock new opportunities in the dynamic fields of business analytics and project management. Enroll now and embark on a transformative learning journey with Digicrome.

Enrol with Digicrome and elevate your career with the essential skills and knowledge required for success in the dynamic field of Business Analytics & Project Management.

Advance Certification Program Business Analytics & Project Management

  1. 299000.00
Features
  • Next Batch: 25/05/2024
  • 3 Months Internship
  • Real World Projects and Case Studies
  • Learning Management System

Key Highlights

  • Live OnlineNext Batch: 25/05/2024
  • Experienced Faculties3 Months Internship
  • Students HandoutsReal World Projects and Case Studies
  • Solid FoundationLearning Management System
  • Solid FoundationPMP Exam Preparation
  • Solid Foundation1:1 Doubt Sessions
  • Solid FoundationPlacement Guarantee Aid
  • Solid Foundation24*7 Career Support

Program Objective

1.1 Introduction to Excel - Formatting, Insertion, Basic Functions (SUM, AVG, etc.

1.2 Pivot Tables and LOOKUP Functions ( VLOOKUP, HLOOKUP, XLOOKUP, etc.)

1.3 Logical and Statistical Functions

1.4 Chart Data Techniques

1.5 Date/Time, Text, Math Functions 

1.6 Advanced Filtering and Sorting

1.7 Summarising, Importing and Exporting Data from Databases and Web

2.1 Project Management Life Cycle and Methodologies

2.2 Effective Project Management - Understanding Project Goals, Scope and Success Criteria

2.3 Understanding Organisational Structure and Culture - Creating a High-Performing Team

2.4 Planning Phase - Building a Plan, Managing Budgeting and Procurement, Managing Risks Effectively

2.5 Project Management using Asana - Asana Tutorial

2.6 Case Study: Building a Successful Project (Hands-on Experience using Asana)

2.7 Project Management using Jira - Jira Tutorial

2.8 Case Study: Building a Successful Project (Hands-on Experience using Jira)

3.1 Introduction to Python Programming - Basics of Python, Data Types, Print and Input Functions

3.2 Data Structures in Python - Different Methods of Each Data Structure

3.3 Control Statements, Loops and Functions in Python

3.4 Introduction to Numpy - Numerical Python Basics Tutorial

3.5 Analysis using Pandas - Advanced Pandas tutorial

4.1 Introduction to Statistics, Types of Data, Need for Statistics in Business Analytics and Project Management

4.2 Descriptive Statistics - Measures of Central Tendency and Measures of Dispersion

4.3 Probability Distribution and Confidence Intervals

4.4 Inferential Statistics (T-test, Z-test, F-test, ANOVA, Chi-Square test, etc.), Hypothesis Testing

4.5 Regression and Correlation

4.6 Exploratory Data Analysis - Understanding Different Graphs, Charts and Plots for both Categorical and Numerical Data

5.1 Exploring Data using Matplotlib - Matplotlib Tutorial

5.2 Exploring Data using Seaborn - Seaborn Tutorial

5.3 Data Visualization using Tableau

5.4 IPower-BI Overview and Implementation

6.1 Introduction to Agile Project Management (APM) - Use of APM in Business Analytics (Iterative Development, Flexibility and Adaptability, Customer Collaboration, Continuous Improvement, etc.)

6.2 Scrum 101. Introduction to Scrum - Understanding Scrum Process, Scrum Values and Scrum Framework

6.3 Use of Scrum Framework in Agile Project Management - Different areas where this Collaborated Framework can

6.4 Scrum Events and Sprint Review - Sprint Review, Sprint Retrospective, Scrum Artefacts and Refinements

6.5 Advanced Scrum Topics - Scaling Scrum and Agile Practices, Agile metrics, Agile Monitoring, etc.

6.6 Implementing Scrum, Applying Agile in the Organization and Practical Applications of APM using Scrum

7.1 Introduction to Databases - What are Databases, What is MySQL, What is RDBMS, What is Oracle, Setting up Oracle Live.

7.2 Data Base Workflows - Understanding Entity Relationship Diagram, Understanding Normalisation (1NF, 2NF, 3NF, BCNF)

7.3 Structured Query Language (SQL) - CRUD Operations

7.4 Joins in SQL - Primary Key and Foreign Key, Constraints, Set Operations, DML - Savepoint, Rollback

7.5Hive Query Language (HQL) - Operations in HQL. Difference between HQL and SQL. Where to use HQL?

8.1 Introduction to Project Execution - Quality Management, Continuous Improvement, Leadership and Communication t, etc.)

8.2 Understanding Work Breakdown Structure (WBS) - Dividing Project Work into smaller parts. Effective Execution of the Project

8.3 Team Collaboration and Conflict Resolution Techniques (CRT) - CRT Through Role Playing 

8.4 Gantt Chart (Project Management Tool) - Practical Execution and Visualization of Projects

8.5 Project Management Simulation Game 8.6 Project Execution - Practical Approach - Hands-On Experience

9.1 Introduction to Machine Learning

9.1.1What is ML

9.1.2 Why ML

9.1.3 Types of ML

9.1.4 Main Challenges - Overfitting, Underfitting, Poor Quality data, Irrelevant Features etc

9.1.5 What are Hyperparameters

9.1.6 How to Select ML model

9.2 Classification Metrics

9.2.1 Accuracy

9.2.2 Recall

9.2.3 Precision

9.2.4 F1 Score

9.2.5 Confusion Matrix

9.2.6 Classification Report

9.2.7 Precision/Recall Tradeoff

9.2.8 ROC Curve

9.2.9 AOC Curve

9.2.10 Binary and Multilabel Classification

9.2.11 Feature Engineering and Feature Importance/Selection

9.3 Classification Models

9.3.1 Gradient Descent and Stochastic Gradient Descent

9.3.2 Logistic Regression

9.3.3 K Nearest Neighbours

9.3.4 Naive Bayes

9.3.6 Linear Discriminant Analysis

9.3.7 Decision Trees

9.3.8 Hyperparameter Tuning - Grid Search CV and Randomised Search CV

9.4 Ensemble Techniques

9.4.1 Bagging - Eg: Voting Classifiers

9.4.2 Boosting - XG Boost, Adaboost, etc

9.4.3 Cross Validation

9.4.4 Random Forest Classifier

9.4.5 XG Boost Classifier

9.4.6 Stacking

9.4.7 Hyperparameter Tuning

10.1 Regression Techniques

10.1.1 Simple Linear Regression

10.1.2 Multiple Linear Regression

10.1.3 Polynomial Regression

10.1.4 Cost Function and Gradient Descent

10.1.5 Performance Metrics - MSE, RMSE, MAE etc

10.1.6 Heteroskedasticity, Non Normality and Correlated Errors

10.1.7 Hyperparameter Tuning

10.2 Regression Models

10.2.1 Decision Tree Regressor

10.2.2 Support Vector Machines

10.2.3 K Nearest Neighbours

10.2.4 Random Forest

10.2.5 Boosting 10.2.6 Hyperparameter Tuning


11.1 Professional Soft Skills

11.1.1 Understanding Professionalism

11.1.2 Management Fundamentals- Everything about communication

11.1.3 Effective Email Writing

11.1.4 Acing Self Introduction and Body Language

11.1.5 Resume Fundamentals

11.1.6 Group Discussion

11.1.7 Mock Interview - I

11.1.8 Mock Interview - II

11.2 Internship - Real World Capstone Project


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Program Fee

$3605.00 US Dollar


13236.00 Dirham


₹299000.00 + 18% GST


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