FINANCETRAIN.COM: Keyword Density Checker

Total words: 1109 | 2-word phrases: 285 | 3-word phrases: 319 | 4-word phrases: 332

PAGE INFO

Title	Try to keep the title under 60 characters (93 characters) Learn finance, risk, data science and data analysis for finance professionals - Finance Train
Description	Try to keep the meta description between 50 - 160 characters (127 characters) Finance Train provides tutorials, courses, and calculators on finance, data science, and various financial certification exams.
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	H1 tag on the page (43 characters) Learn Data Science for Business and Finance

#	Keyword	Frequency	Density
1	handling missing data	5	1.57%
2	join finance train	3	0.94%
3	data in python	3	0.94%
4	finance train logo	3	0.94%
5	in python pandas	3	0.94%
6	finance train premium	3	0.94%
7	handling missing dataexamplepart	3	0.94%
8	data analysis data	2	0.63%
9	and finance learn	2	0.63%
10	learning algorithmic trading	2	0.63%
11	business and finance	2	0.63%
12	a growing library	2	0.63%
13	modeling data analysis	2	0.63%
14	machine learning algorithmic	2	0.63%
15	covering financial modeling	2	0.63%
16	algorithmic trading strategies	2	0.63%
17	realworld finance scenarios	2	0.63%
18	examples covering financial	2	0.63%
19	of ebooks projects	2	0.63%
20	library of ebooks	2	0.63%
21	growing library of	2	0.63%
22	financial modeling data	2	0.63%
23	to a growing	2	0.63%
24	strategies and more	2	0.63%
25	skills join finance	2	0.63%
26	finance career with	2	0.63%
27	career with cuttingedge	2	0.63%
28	with cuttingedge data	2	0.63%
29	access to a	2	0.63%
30	data skills join	2	0.63%

#	Keyword	Frequency	Density
1	finance career with cuttingedge	2	0.60%
2	join finance train premium	2	0.60%
3	learning algorithmic trading strategies	2	0.60%
4	business and finance learn	2	0.60%
5	machine learning algorithmic trading	2	0.60%
6	modeling data analysis data	2	0.60%
7	financial modeling data analysis	2	0.60%
8	covering financial modeling data	2	0.60%
9	examples covering financial modeling	2	0.60%
10	library of ebooks projects	2	0.60%
11	growing library of ebooks	2	0.60%
12	a growing library of	2	0.60%
13	to a growing library	2	0.60%
14	access to a growing	2	0.60%
15	unlimited access to a	2	0.60%
16	trading strategies and more	2	0.60%
17	for unlimited access to	2	0.60%
18	skills join finance train	2	0.60%
19	data in python pandas	2	0.60%
20	data skills join finance	2	0.60%
21	career with cuttingedge data	2	0.60%
22	algorithmic trading strategies and	2	0.60%
23	with cuttingedge data skills	2	0.60%
24	cuttingedge data skills join	2	0.60%
25	pandas loading and saving	1	0.30%
26	using pandas loading and	1	0.30%
27	using pandas exploring data	1	0.30%
28	data handling missing data	1	0.30%
29	handling missing data in	1	0.30%
30	analysis using pandas exploring	1	0.30%
31	correlation analysis using pandas	1	0.30%
32	using pandas correlation analysis	1	0.30%
33	pandas correlation analysis using	1	0.30%
34	missing data in python	1	0.30%
35	pandas handling categorical data	1	0.30%
36	visualization using pandas handling	1	0.30%
37	using pandas handling categorical	1	0.30%
38	values using pandas correlation	1	0.30%
39	categorical data and unique	1	0.30%
40	handling categorical data and	1	0.30%

#	URL	Whois	Check
1	https://twitter.com/financetrain	Whois	twitter.com
2	https://www.facebook.com/financetrain	Whois	facebook.com