Description
Data Analytics Certification Training
Description
Data Analytics certification course is ideal for all working professionals. Prior programming knowledge is not required. It covers job-critical topics like data analytics, data visualization, regression techniques, and supervised learning in-depth via our Bootcamp learning model with live sessions by leading practitioner’s industry projects.
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. The course simplifies complex concepts, breaks down math jargon and helps navigate complex symbols and equations. These skills enable candidates to zoom in on the most useful data and apply it in the real world. These tools include graphic presentation techniques and simplified models to transform the results of data analysis into digestible, easy-to-understand insights and usable recommendations.
Analysis, refers to dividing a whole into its separate components for individual examination. Data analysis, is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. Data, is collected and analyzed to answer questions, test hypotheses, or disprove theories.
Key Features:
- 3 Days of Classroom Setting/Online Instructor-Led Training
- 24 PDU’s Offered
- Experiential Learning with Case studies and Simulations
- Get Trained by Globally Renowned Certified Data Analytics Instructor
- 24/7 Customer Support
What is the main objective of using big data analytics?
Big Data analytics is a process used to extract meaningful insights, such as hidden patterns, unknown correlations, market trends, and customer preferences. Big Data analytics provides various advantages—it can be used for better decision making, preventing fraudulent activities, among other things.
What are methods of data analysis?
Types of Data Analysis are Text, Statistical, Diagnostic, Predictive, Prescriptive Analysis. Data Analysis consists of Data Requirement Gathering, Data Collection, Data Cleaning, Data Analysis, Data Interpretation, Data Visualization.
What are the steps in data analysis?
To improve your data analysis skills and simplify your decisions, execute these five steps in your data analysis process:
1: Define Your Questions
2: Set Clear Measurement Priorities
3: Collect Data
4: Analyze Data
5: Interpret Results
Data Fundamentals
- Course Overview and Level Set
- Understanding Real-world Data
- Types of Data
- LAB: Hands-on – Profiling Data
- Data-related Risk
- Data Quality
- LAB: Hands-on – Dealing with Duplicates
- Relationships
- LAB: Hands-On – Data Relationships using PowerPivot
Analysis Foundations
- Statistical Practices: Overview
- Domains of Data
- Analysis Analyzing Data
- Statistical Practices: Overview
- Averages in Data
- Central Tendency
- LAB: Hands-On – Central Tendency
- LAB: Hands-On – Linear Regression
- Distributions
- Correlation
- LAB: Hands-On – Distributions in Consumer Finance Data
- Analytical Graphics for Data
- Analytics & Modeling
- ROI & Financial Decisions
- LAB: Hands-On – Helpful Financial Metrics in Excel
- Using Financial Data
- Random Numbers
- Demo / Lab – Monte Carlo Analysis in Excel
- Predictive Analytics Demo / Lab – Using R for Powerful Analysis
- Clustering
- Data Modeling
- Data Warehousing
- Visualizing & Presenting Data
- Goals of Visualization
- Visualization Essentials
- Demo / Lab – Improving a Difficult Report
- Communicating Data-Driven Knowledge
Who Can Attend?
Anyone involved in operations, project management, business analysis, or management would benefit from this course. This training is invaluable for:
- Business Analysts, Business Systems Analysts, CBAP, CCBA
- Systems, Operations Research, Marketing, and other Analysts
- Project Managers, Program Managers, Team Leaders, PMP, CAPM
- Data Modelers and Administrators, DBAs
- IT Managers, Directors, VPs
- Finance Managers, Directors, VPs
- Operations Supervisors, Managers, Directors, VPs
- Risk Managers, Operations Risk Professionals
- Process Improvement, Audit or Internal Consultants and Staff
Why Instil Learning?
Instil Learning training is the best and value for time & money invested. We stand out because our customers:
- Get trained at the best price compared to other training providers.
- Get trained by the best trainer in the industry.
- Get accesses to course specific learning videos.
*We also provide corporate training at any of your preferred location.