What you'll get
- 103+ Hours
- 20 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Learners will develop hands-on expertise in Artificial Intelligence, Machine Learning, Business Intelligence, and data analytics using tools such as R, SAS, and Tableau.
- Access to all course materials is available for one year, allowing flexible, self-paced learning.
- Tailored for professionals aspiring to excel in data visualization and analytics.
- No prior experience with R or SAS is mandatory, though familiarity is advantageous.
- Upon completion, participants receive course completion certificates and verifiable digital certificates for resumes and LinkedIn profiles.
- The program emphasizes practical application through project-based learning modules.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Data Analytics with QlikView | 5h 54m | ✔ | View Curriculum |
| QlikView Security Overview | 1h 1m | ✔ | View Curriculum |
| CloverETL Data Integration | 2h 7m | ✔ | View Curriculum |
| CloverETL Data Integration - Advanced Case Studies | 1h 14m | ✔ | View Curriculum |
| EViews - Introductory Econometrics Modeling | 6h 39m | ✔ | View Curriculum |
| EViews - Advanced | 17h 12m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Artificial Intelligence and Machine Learning Training Course | 12h 8m | ✔ | View Curriculum |
| Machine Learning using Python | 3h 26m | ✔ | View Curriculum |
| Machine Learning - Statistics Essentials | 8h 23m | ✔ | View Curriculum |
| Business Intelligence with Tableau | 5h 43m | ✔ | View Curriculum |
| Customer Analytics using R and Tableau | 2h 7m | ✔ | View Curriculum |
| Pricing Analytics using R and Tableau | 2h 39m | ✔ | View Curriculum |
| Card Purchase Prediction using R | 2h 28m | ✔ | View Curriculum |
| Analytics using Tableau | 9h 28m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Business & Data Analytics - Beginners | 2h 18m | ✔ | View Curriculum |
| Online Informatica Training: Beginners | Informatica ETL Tools Guide | 2h 11m | ✔ | View Curriculum |
| Oracle SQL Comprehensive Training | 17h 32m | ✔ | View Curriculum |
| Graphs & Charts in Microsoft Excel 2010 | 2h 18m | ✔ | View Curriculum |
| SAS/GRAPH | 2h 1m | ✔ | View Curriculum |
| Statistical Tools in Microsoft Excel | 1h 11m | ✔ | View Curriculum |
Description
Data Visualization is the art of presenting data in a graphical and intuitive format to make complex datasets easier to understand. By converting raw data into charts, graphs, and interactive visuals, professionals can clearly communicate insights, identify patterns, and support data-driven decision-making.
Common visualizations include bar charts, line charts, histograms, pie charts, area charts, control charts, run charts, and box plots. Maps, dashboards, and interactive graphics display data to enhance comprehension.
In Data Science and analytics, visualization simplifies comparisons, highlights trends, and condenses large datasets without losing critical information. Applications span industries from media, transportation, and weather reporting to business intelligence, marketing, and research analytics.
Tools covered in the course include Tableau, QlikView, Plotly, D3.js, DataWrapper, ChartBlocks, RAWGraphs, and others. These enable learners to transform raw data into actionable insights and informed decisions.
Sample Certificate
Goals
- Equip learners with the skills to visualize and interpret complex datasets effectively.
- Provide hands-on experience with industry-standard visualization tools.
- Prepare learners to leverage visualization for data-driven decision-making in professional settings.
- Enable learners to showcase their skills through verifiable certificates and project portfolios.
Objectives
- Master data visualization using Tableau, QlikView, SAS/GRAPH, and R.
- Develop interactive dashboards and reports for business intelligence applications.
- Apply statistical and analytical techniques to real-world datasets.
- Transform complex data into intuitive, visually compelling representations.
- Gain confidence in using visualization tools for career advancement and analytics projects.
Highlights
- Self-paced video modules with real-world project exercises.
- One-year access to all learning resources.
- Training in Tableau, QlikView, R, SAS/GRAPH, and Python.
- Hands-on projects to apply knowledge immediately.
- Verifiable digital certificates to showcase skills on LinkedIn or resumes.
- Guidance in AI, Machine Learning, and Business Intelligence integration.
Requirements
- Beginners can enroll.
- Learners should have a basic understanding of Python, statistics, or data analytics.
- Familiarity with R, SAS, Machine Learning, Tableau, or QlikView is a plus.
- Interest in data-driven insights, analytics, and visualization techniques.
- Prior exposure to programming, data modeling, or statistical methods is helpful but optional.
Target Audience
- Aspiring Data Analysts, Data Scientists, Business Analysts, and Python Developers.
- Graduates and students from Engineering, Computer Science, Statistics, and related fields.
- Professionals seeking advanced expertise in Tableau, QlikView, SAS, and Python analytics.
- Anyone aiming to pursue data visualization, BI, or analytics-focused roles.
- Suitable for those planning careers as Tableau Developer, Data Analyst, Statistical Analyst, BI Developer, ODI Developer, or Reporting Analyst.
FAQ
Q1. Do I need prior experience in R or SAS to join the course?
No prior experience is required. Beginners can learn step by step, though familiarity with programming or analytics is helpful.
Q2. How long can I access the course materials?
All materials are accessible for one year from enrollment.
Q3. Will I receive a certificate upon completion?
Yes, learners receive course completion certificates and verifiable digital certificates with unique links for resumes and LinkedIn.
Q4. Is this course suitable for professionals from non-technical backgrounds?
Anyone interested in data visualization or analytics can benefit, though they should have basic familiarity with Python or statistics.
Q5. Does the course include hands-on projects?
Yes, practical projects are integrated into the course to reinforce applied learning.
Career Benefits
- Acquire in-demand data visualization skills for analytics and BI roles.
- Build expertise in Tableau, QlikView, Python, SAS, R, and Machine Learning.
- Strengthen your resume and LinkedIn profile with verifiable certifications.
- Gain practical experience for roles in AI, analytics, and data-driven decision-making.
- Prepare for data-centric roles in tech, finance, consulting, research, and large enterprises.
- Enhance career prospects for roles such as Data Analyst, Tableau Developer, BI Developer, Statistical Analyst, and Reporting Analyst.
