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A CAREER IN TECH?
WITH DATA ANALYST HENRICA MAKULU
1. My Techimony a.k.a My Story
2.TheTech Landscape
3.A Day In The Life of a Data Analyst
4.Tips & Tricks
5. Q & A
…Choose a job you love, and you will never have to work a day in your life… - Confucius
AGENDA
MY TECHIMONY - WALKWITH ME…
1987
• Born
2004-6
• High school: fees
issues
• 8 points A Level
2007-12
• Repeated in uni
degree
• Didn’t know what
I wanted to be
2017-20
• Data Analyst for
leading Zim co.
• Worked with
COO
• Global Shaper
• Traveled to USA
• Mentor/Speaker
• Fulfilled,growing
2012-17
• Stuck in an
unfulfilling job
• Driver’s License
denied 12 times
• Career planning
began
• Got an interview!
2020+
• Vision
• Growth
THE TECH LANDSCAPE
The world is moving.Think back 5, 10, 15 years. Embracing
tech: accountants, lawyers, packers etc
The future of careers is different: be future ready
Self-service (e-commerce, airport check-in, vending
machines etc)
Artificial Intelligence (self driving cars, Google home,
robots, drones etc)
Big Data
Cloud
5G
1970s
Vacuum cleaners
Floppy disc
1980s
PC (personal
computer)
CD players
1990s
WiFi
Internet
2010s
iPad
3DTV
4G devices
2000s
iPod / Mp3 player
Touch screens
Bluetooth
2020
3D printing
Face recognition
Introduction of 5G
A LOOK BACK IN TIME
1.Artificial Intelligence/Machine Learning Engineer
2. Data Scientist
3. Information Security Analyst
4. Software Engineer
5. Computer Research Scientist
6. Data Analyst
7. IT Manager
8. Database Administrator
9.Web Developer
10. Computer Hardware Engineer
11. Computer Systems Analyst
12. DevOps Engineer
13. Computer Network Architect
14. Java Developer
15.Tech Sales Engineer
16. PHP Developer
17. Python Developer
18. Network and Systems Administrator
19. Mobile Application Developer
20.Web Designer Source: https://careerkarma.com/blog/best-tech-jobs/
THE TECH LANDSCAPE Back then:
Engineering
Computer Science
Mathematics
Business Management
IT
Now:
Law
Accounting
Teaching…
…
ANYTHING REALLY
BECAUSE
ONLINE
COURSES!!!!!!!!!!!!!!!!!!!!!!!
Henrica Makulu
Day Transactions Subscribers Amount
Mon 2000 1000 2500
Tue 1500 800 2000
Wed 1600 850 2000
Thur 1800 900 2200
Fri 2100 1000 2600
Sat 1450 800 2500
Sun 500 400 2000
0
1000
2000
3000
4000
5000
6000
Mon Tue Wed Thur Fri Sat Sun
Daily Numbers-Stacked
Column Chart
Txns Subs Amt
A DAY INTHE LIFE OFA DATAANALYST
Figures have been edited and do not reflect actual figures
Henrica Makulu
Day Transactions Subscribers Amount
Mon 2000 1000 2500
Tue 1500 800 2000
Wed 1600 850 2000
Thur 1800 900 2200
Fri 2100 1000 2600
Sat 1450 800 2500
Sun 500 400 2000
0
500
1000
1500
2000
2500
3000
Mon Tue Wed Thur Fri Sat Sun
Daily Numbers – Column
Chart
Txns Subs Amt
A DAY INTHE LIFE OFA DATAANALYST
Figures have been edited and do not reflect actual figures
Henrica Makulu
Day Transactions Subscribers Amount
Mon 2000 1000 2500
Tue 1500 800 2000
Wed 1600 850 2000
Thur 1800 900 2200
Fri 2100 1000 2600
Sat 1450 800 2500
Sun 500 400 2000
0
500
1000
1500
2000
2500
3000
1 2 3 4 5 6 7
Daily Numbers – Line Chart
Txns Subs Amt
A DAY INTHE LIFE OFA DATAANALYST
Figures have been edited and do not reflect actual figures
Henrica Makulu
Select All
From Table
Where Day = ‘Sat’
Day Txns Subs Amt
Sat 1450 800 2500
select
fromwhere
if and
Day Transactions Subscribers Amount
Mon 2000 1000 2500
Tue 1500 800 2000
Wed 1600 850 2000
Thur 1800 900 2200
Fri 2100 1000 2600
Sat 1450 800 2500
Sun 500 400 2000
Henrica Makulu
import
describe
head()
pd.read_excel
e.g Talking,Technology, Music,
Organising
What you love (Passion)
e.g Maths,
Data Analytics
What you know/paid for
(Knowledge)
e.g disorganisation
What bothers you/the world needs
e.g Change maker
What you aspire to (Dreams)
e.g Leader
What others affirm about you
e.g Organising
What you do easily (Talents)
HOW DO I CHOOSE A CAREER?
Note:There are times you won’t meet all these. If 1 thing is missing doesn’t mean you are on the wrong path. Sometimes you can have a
job that meets 2 or 3 for example, sometimes a job has nothing to do with your happy place. It’s okay if you don’t know your talent yet
TECH REQUIREMENTS
Pick an interest Learn as much
as you can
Practice!
TIPS & TRICKS
1. Start thinking of your happy place
2. It’s okay if it takes time, Sometimes you have to take on work you don’t like
3. Failures are part of the journey
4. Attitude matters – people hire personality
5. Envision your future (5 years, 10 years) & write it down
6. Volunteer
7. The internet is your friend!
8. Pick something you’re interested in and pursue it relentlessly (You don’t
have to be clever! Just intentional!)
9. Experts take years to learn & practice, forget instant gratification
10.Practice is better than talent – make many mistakes, repeat many times
Pick an interest Learn as much as you
can
Practice!
THANKYOU!
WHATSAPP:+263-772888803
EMAIL: HENRICAMAKULU@GMAIL.COM
HENRICA MAKULU

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A career in tech by data analyst Henrica Makulu

  • 1. A CAREER IN TECH? WITH DATA ANALYST HENRICA MAKULU
  • 2. 1. My Techimony a.k.a My Story 2.TheTech Landscape 3.A Day In The Life of a Data Analyst 4.Tips & Tricks 5. Q & A …Choose a job you love, and you will never have to work a day in your life… - Confucius AGENDA
  • 3. MY TECHIMONY - WALKWITH ME… 1987 • Born 2004-6 • High school: fees issues • 8 points A Level 2007-12 • Repeated in uni degree • Didn’t know what I wanted to be 2017-20 • Data Analyst for leading Zim co. • Worked with COO • Global Shaper • Traveled to USA • Mentor/Speaker • Fulfilled,growing 2012-17 • Stuck in an unfulfilling job • Driver’s License denied 12 times • Career planning began • Got an interview! 2020+ • Vision • Growth
  • 4. THE TECH LANDSCAPE The world is moving.Think back 5, 10, 15 years. Embracing tech: accountants, lawyers, packers etc The future of careers is different: be future ready Self-service (e-commerce, airport check-in, vending machines etc) Artificial Intelligence (self driving cars, Google home, robots, drones etc) Big Data Cloud 5G
  • 5. 1970s Vacuum cleaners Floppy disc 1980s PC (personal computer) CD players 1990s WiFi Internet 2010s iPad 3DTV 4G devices 2000s iPod / Mp3 player Touch screens Bluetooth 2020 3D printing Face recognition Introduction of 5G A LOOK BACK IN TIME
  • 6. 1.Artificial Intelligence/Machine Learning Engineer 2. Data Scientist 3. Information Security Analyst 4. Software Engineer 5. Computer Research Scientist 6. Data Analyst 7. IT Manager 8. Database Administrator 9.Web Developer 10. Computer Hardware Engineer 11. Computer Systems Analyst 12. DevOps Engineer 13. Computer Network Architect 14. Java Developer 15.Tech Sales Engineer 16. PHP Developer 17. Python Developer 18. Network and Systems Administrator 19. Mobile Application Developer 20.Web Designer Source: https://careerkarma.com/blog/best-tech-jobs/ THE TECH LANDSCAPE Back then: Engineering Computer Science Mathematics Business Management IT Now: Law Accounting Teaching… … ANYTHING REALLY BECAUSE ONLINE COURSES!!!!!!!!!!!!!!!!!!!!!!!
  • 7. Henrica Makulu Day Transactions Subscribers Amount Mon 2000 1000 2500 Tue 1500 800 2000 Wed 1600 850 2000 Thur 1800 900 2200 Fri 2100 1000 2600 Sat 1450 800 2500 Sun 500 400 2000 0 1000 2000 3000 4000 5000 6000 Mon Tue Wed Thur Fri Sat Sun Daily Numbers-Stacked Column Chart Txns Subs Amt A DAY INTHE LIFE OFA DATAANALYST Figures have been edited and do not reflect actual figures
  • 8. Henrica Makulu Day Transactions Subscribers Amount Mon 2000 1000 2500 Tue 1500 800 2000 Wed 1600 850 2000 Thur 1800 900 2200 Fri 2100 1000 2600 Sat 1450 800 2500 Sun 500 400 2000 0 500 1000 1500 2000 2500 3000 Mon Tue Wed Thur Fri Sat Sun Daily Numbers – Column Chart Txns Subs Amt A DAY INTHE LIFE OFA DATAANALYST Figures have been edited and do not reflect actual figures
  • 9. Henrica Makulu Day Transactions Subscribers Amount Mon 2000 1000 2500 Tue 1500 800 2000 Wed 1600 850 2000 Thur 1800 900 2200 Fri 2100 1000 2600 Sat 1450 800 2500 Sun 500 400 2000 0 500 1000 1500 2000 2500 3000 1 2 3 4 5 6 7 Daily Numbers – Line Chart Txns Subs Amt A DAY INTHE LIFE OFA DATAANALYST Figures have been edited and do not reflect actual figures
  • 10. Henrica Makulu Select All From Table Where Day = ‘Sat’ Day Txns Subs Amt Sat 1450 800 2500 select fromwhere if and Day Transactions Subscribers Amount Mon 2000 1000 2500 Tue 1500 800 2000 Wed 1600 850 2000 Thur 1800 900 2200 Fri 2100 1000 2600 Sat 1450 800 2500 Sun 500 400 2000
  • 12.
  • 13. e.g Talking,Technology, Music, Organising What you love (Passion) e.g Maths, Data Analytics What you know/paid for (Knowledge) e.g disorganisation What bothers you/the world needs e.g Change maker What you aspire to (Dreams) e.g Leader What others affirm about you e.g Organising What you do easily (Talents) HOW DO I CHOOSE A CAREER? Note:There are times you won’t meet all these. If 1 thing is missing doesn’t mean you are on the wrong path. Sometimes you can have a job that meets 2 or 3 for example, sometimes a job has nothing to do with your happy place. It’s okay if you don’t know your talent yet
  • 14. TECH REQUIREMENTS Pick an interest Learn as much as you can Practice! TIPS & TRICKS 1. Start thinking of your happy place 2. It’s okay if it takes time, Sometimes you have to take on work you don’t like 3. Failures are part of the journey 4. Attitude matters – people hire personality 5. Envision your future (5 years, 10 years) & write it down 6. Volunteer 7. The internet is your friend! 8. Pick something you’re interested in and pursue it relentlessly (You don’t have to be clever! Just intentional!) 9. Experts take years to learn & practice, forget instant gratification 10.Practice is better than talent – make many mistakes, repeat many times
  • 15. Pick an interest Learn as much as you can Practice!
  • 16.