This course covers most popular python tools that data scientists should know how to use.

  Training schedule for "Using Data Science Tools in Python Course"

November
2024
24
Sun
One to One - Online
09:00-17:00 (EST)
AT8322V243291
750 $
November
2024
27
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V243321
750 $
30 November 2024 - 1 Dec
One to One - Online
09:00-17:00 (EST)
AT8322V243351
750 $
December
2024
4
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V243391
750 $
December
2024
8
Sun
One to One - Online
09:00-17:00 (EST)
AT8322V243431
750 $
680 $
Early bird discount
December
2024
11
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V243461
750 $
680 $
Early bird discount
December
2024
14
Sat
One to One - Online
09:00-17:00 (EST)
AT8322V243491
750 $
680 $
Early bird discount
December
2024
18
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V243531
750 $
680 $
Early bird discount
December
2024
22
Sun
One to One - Online
09:00-17:00 (EST)
AT8322V243571
750 $
680 $
Early bird discount
December
2024
25
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V243601
750 $
680 $
Early bird discount
December
2024
28
Sat
One to One - Online
09:00-17:00 (EST)
AT8322V243631
750 $
680 $
Early bird discount
January
2025
1
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V250011
750 $
680 $
Early bird discount
January
2025
5
Sun
One to One - Online
09:00-17:00 (EST)
AT8322V250051
750 $
680 $
Early bird discount
January
2025
8
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V250081
750 $
680 $
Early bird discount
January
2025
11
Sat
One to One - Online
09:00-17:00 (EST)
AT8322V250111
750 $
680 $
Early bird discount
January
2025
15
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V250151
750 $
680 $
Early bird discount
January
2025
19
Sun
One to One - Online
09:00-17:00 (EST)
AT8322V250191
750 $
680 $
Early bird discount
November
2024
25
Mon
One to One - Online
09:00-17:00 (EST)
AT8322V243301
750 $
30 November 2024 - 1 Dec
One to One - Online
09:00-17:00 (EST)
AT8322V243351
750 $
December
2024
4
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V243391
750 $
December
2024
9
Mon
One to One - Online
09:00-17:00 (EST)
AT8322V243441
750 $
680 $
Early bird discount
December
2024
14
Sat
One to One - Online
09:00-17:00 (EST)
AT8322V243491
750 $
680 $
Early bird discount
December
2024
18
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V243531
750 $
680 $
Early bird discount
December
2024
23
Mon
One to One - Online
09:00-17:00 (EST)
AT8322V243581
750 $
680 $
Early bird discount
December
2024
28
Sat
One to One - Online
09:00-17:00 (EST)
AT8322V243631
750 $
680 $
Early bird discount
January
2025
1
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V250011
750 $
680 $
Early bird discount
January
2025
6
Mon
One to One - Online
09:00-17:00 (EST)
AT8322V250061
750 $
680 $
Early bird discount
January
2025
11
Sat
One to One - Online
09:00-17:00 (EST)
AT8322V250111
750 $
680 $
Early bird discount
January
2025
15
Wed
One to One - Online
09:00-17:00 (EST)
AT8322V250151
750 $
680 $
Early bird discount
January
2025
20
Mon
One to One - Online
09:00-17:00 (EST)
AT8322V250201
750 $
680 $
Early bird discount

Who Should Attend

  • Data scientists and enthusiasts who wants to excel in Data Science Tools used in Python.

Course Content

  • IPython
  • GraphLab Create
  • Pandas
  • PuLP
  • Matplotlib
  • Scikit-Learn
  • Spark

Frequently Asked Questions

"Using Data Science Tools in Python Course" trainings are given in ("Group - One to one") two different  ways.
The one-to-one tuition fee is 680 $.

"Using Data Science Tools in Python Course" trainings are given in two different ways.

The tuition fee as a group is 680 $. To create a group, you must be at least  3 people.
The one-to-one tuition fee is 680 $.

Our "Using Data Science Tools in Python Course" trainings are one-to-one 2 days,

Our "Using Data Science Tools in Python Course" trainings are group 1 days,
 

 

Exam & Certification

Participation Certificate

All trainees who participate in training will have an AcademyTech participation certificate.

Exam & Certification

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"Using Data Science Tools in Python Course"

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