An Extensive 08 Weeks Training for Zero Code Data Science i.e. how anyone from non CS Back Ground can implement Data Science Models For Registration of Training: https://diceanalytics.pk/school/courses-and-workshops/ds-for-non-techies/

1. https://www.linkedin.com/company/13294896/
https://www.facebook.com/diceanalytics/
Empowering Data Analytics Ecosystem

2. Why
Excel
Why to
Uplift Skills Alternate
Tools
Q&A
Go Beyond Excel to improve Productivity: Agenda
Why organizations should invest on human capital to go beyond the boundaries of Microsoft Excel

3. Why we use Excel ?
Frequently Used Tool
Easy to Use Tool
Basic Visualization
Pivot Tables
The most preferred choice of Business
People for Data Analysis
Excel Easiness to use make it the
Preferred tool for Data Analysis
A tool enriched with Basic Level of
Visualizations
Pivot tables an easy to use
tool for summarizing the info.
Microsoft Excel is the leading data analysis tool and it’s a reality that no business idea can be realized without
involvement of Microsoft Excel. Even saying no Business Decision can be made without involving Excel wouldn’t
be a lie.

4. For an effective use of Excel, it is required to have an idea
of where our analysis leads us to. On the contrary, you
need to answer the question, through data mapping,
building formulas & visualizations, then analyzing the
information in hand.
Answer The Question First
To run similar processes again, we create Macros,
however to create advanced macros, it is required to have
knowledge of VBA, which isn’t common among daily
users.
No Ease Of Automation
As Excel is best suited for small-scale, well-structured data
and offline Data Stores. World is now moving toward real
time analysis and insights, which is almost difficult to
achieve with
Real-Time Voice
Visualizations in the form of dashboards in Excel are
possible, but they require cell level manipulations to
create charts, pivots, and draw a visual. And building a
storyline in Excell is almost difficult, you have to take
Powerpoint on board for story telling.
Interactive Visualizations ?
Excel Limitations ?
Though Excel have evolved in-terms of data handling and have become a reliable enterprise level tool but, its still
unable to tackle the ever increasing size of Data.

5. Data is growing exponentially
100 Rows
20K Rows
200K Rows
1 Million Rows
10 Million Rows
1 GB Excel File
5 GB Excel File

6. In the era of Digital Transformation, Data have started to become a strategic edge, organization have started to
look after the capabilities beyond the limits of Data Analysis. Organization have now started to build a predictive
analytics ecosystem and skills within organization. Reactive approach/data analysis have started to become an
old school thought globally.
Data Science Skill demand is exponentially growing
Data
Scientist
Data
Analyst

7. What we are already doing ?
Focus on
Understanding
Your
Problems
(Develop Analysis Yourself)
What Data Science ask you to do?
+
+
+
+
Focus on
Solving
Your
Problems
(Tools/Machines will develop
Analysis for you )

8. Data Science is proving itself as sound ROI driver
Make Better Decisions Faster Lower Cost/Increased Efficiency Increase Revenue/New Products

9. Computer Programming A Fear -> To Learn Data Science
100 Rows
20K Rows
200K Rows
1 Million Rows
10 Million Rows
1 GB Excel File
5 GB Excel File

10. Zero Programming Tools for Data Science
Rapid Miner
SAP Predictive Analytics
SAS Enterprise Miner
IBM Watson Studio
KNIME
Orange Analytics

11. A lot of Tools without Programming Available
For Data Science/Data Analysis
100 Rows
20K Rows
200K Rows
1 Million Rows
10 Million Rows
1 GB Excel File
5 GB Excel File

12. KNIME a Lethal Combo with Excel
For Data Science/Data Analysis
100 Rows
20K Rows
200K Rows
1 Million Rows
10 Million Rows
1 GB Excel File
5 GB Excel File
Open Source No Licensing Drag and Drop

13. KNIME: An Open Source Enterprise Tool
KNIME is recommended for Business users/Non Programming background users. As its completely free to use
and doesn’t require any licensing. Which makes it a preferred choice for organizations.

14. KNIME: An Open Source Enterprise Tool

15. They call it a Swiss Army KNIFE
https://www.forbes.com/sites/janakirammsv/2020/02/20/gartners-2020-magic-quadrant-for-data-science-and-machine-learning-platforms-has-many-surprises/#b600803f550f
KNIME: An Open Source Enterprise Tool

16. Trainer Profile
https://www.linkedin.com/in/alirazaanjum/
• Training Fees: 25,0000 – 80 Hours Live Training
• Content Details Provided Below
• 10+ Years of Data Science Experience
• Extensive experience related to Data Analysis
• Conducted 30+ Trainings in Last 4 Years
ali@diceanalytics.pk
https://diceanalytics.pk/school/courses-and-workshops/ds-for-non-techies

17. Trainer Profile
Experience 10+ Years
Organizations
Education • Computer Engineering
• MBA Marketing
Skill Set
https://www.linkedin.com/in/alirazaanjum/

18. Thanks