Global King Project Management
GKPM
Advanced Biostatistics using R Training Course

Advanced Biostatistics using R Training Course

5 Days

Upcoming Schedules

27/07/2026 – 31/07/2026 Cape Town
USD 4,000
Individual Group
10/08/2026 – 14/08/2026 Cape Town
USD 4,000
Individual Group
17/08/2026 – 21/08/2026 Cape Town
USD 4,000
Individual Group
24/08/2026 – 28/08/2026 Cape Town
USD 4,000
Individual Group
31/08/2026 – 04/09/2026 Cape Town
USD 4,000
Individual Group
07/09/2026 – 11/09/2026 Cape Town
USD 4,000
Individual Group
21/09/2026 – 25/09/2026 Cape Town
USD 4,000
Individual Group
05/10/2026 – 09/10/2026 Cape Town
USD 4,000
Individual Group
19/10/2026 – 23/10/2026 Cape Town
USD 4,000
Individual Group
26/10/2026 – 30/10/2026 Cape Town
USD 4,000
Individual Group
02/11/2026 – 06/11/2026 Cape Town
USD 4,000
Individual Group
16/11/2026 – 20/11/2026 Cape Town
USD 4,000
Individual Group
30/11/2026 – 04/12/2026 Cape Town
USD 4,000
Individual Group
07/12/2026 – 11/12/2026 Cape Town
USD 4,000
Individual Group
14/12/2026 – 18/12/2026 Cape Town
USD 4,000
Individual Group
21/12/2026 – 25/12/2026 Cape Town
USD 4,000
Individual Group
28/12/2026 – 01/01/2027 Cape Town
USD 4,000
Individual Group
04/01/2027 – 08/01/2027 Cape Town
USD 4,000
Individual Group
11/01/2027 – 15/01/2027 Cape Town
USD 4,000
Individual Group
25/01/2027 – 29/01/2027 Cape Town
USD 4,000
Individual Group
01/02/2027 – 05/02/2027 Cape Town
USD 4,000
Individual Group
08/02/2027 – 12/02/2027 Cape Town
USD 4,000
Individual Group
15/02/2027 – 19/02/2027 Cape Town
USD 4,000
Individual Group
22/02/2027 – 26/02/2027 Cape Town
USD 4,000
Individual Group
01/03/2027 – 05/03/2027 Cape Town
USD 4,000
Individual Group
22/03/2027 – 26/03/2027 Cape Town
USD 4,000
Individual Group
29/03/2027 – 02/04/2027 Cape Town
USD 4,000
Individual Group
05/04/2027 – 09/04/2027 Cape Town
USD 4,000
Individual Group
12/04/2027 – 16/04/2027 Cape Town
USD 4,000
Individual Group
19/04/2027 – 23/04/2027 Cape Town
USD 4,000
Individual Group
26/04/2027 – 30/04/2027 Cape Town
USD 4,000
Individual Group
03/05/2027 – 07/05/2027 Cape Town
USD 4,000
Individual Group
10/05/2027 – 14/05/2027 Cape Town
USD 4,000
Individual Group
17/05/2027 – 21/05/2027 Cape Town
USD 4,000
Individual Group
24/05/2027 – 28/05/2027 Cape Town
USD 4,000
Individual Group
31/05/2027 – 04/06/2027 Cape Town
USD 4,000
Individual Group
07/06/2027 – 11/06/2027 Cape Town
USD 4,000
Individual Group
14/06/2027 – 18/06/2027 Cape Town
USD 4,000
Individual Group
28/06/2027 – 02/07/2027 Cape Town
USD 4,000
Individual Group
05/07/2027 – 09/07/2027 Cape Town
USD 4,000
Individual Group
12/07/2027 – 16/07/2027 Cape Town
USD 4,000
Individual Group
19/07/2027 – 23/07/2027 Cape Town
USD 4,000
Individual Group
27/07/2026 – 31/07/2026 Dubai
USD 4,500
Individual Group
03/08/2026 – 07/08/2026 Dubai
USD 4,500
Individual Group
10/08/2026 – 14/08/2026 Dubai
USD 4,500
Individual Group
17/08/2026 – 21/08/2026 Dubai
USD 4,500
Individual Group
24/08/2026 – 28/08/2026 Dubai
USD 4,500
Individual Group
31/08/2026 – 04/09/2026 Dubai
USD 4,500
Individual Group
07/09/2026 – 11/09/2026 Dubai
USD 4,500
Individual Group
14/09/2026 – 18/09/2026 Dubai
USD 4,500
Individual Group
21/09/2026 – 25/09/2026 Dubai
USD 4,500
Individual Group
28/09/2026 – 02/10/2026 Dubai
USD 4,500
Individual Group
05/10/2026 – 09/10/2026 Dubai
USD 4,500
Individual Group
12/10/2026 – 16/10/2026 Dubai
USD 4,500
Individual Group
19/10/2026 – 23/10/2026 Dubai
USD 4,500
Individual Group
26/10/2026 – 30/10/2026 Dubai
USD 4,500
Individual Group
02/11/2026 – 06/11/2026 Dubai
USD 4,500
Individual Group
09/11/2026 – 13/11/2026 Dubai
USD 4,500
Individual Group
16/11/2026 – 20/11/2026 Dubai
USD 4,500
Individual Group
23/11/2026 – 27/11/2026 Dubai
USD 4,500
Individual Group
30/11/2026 – 04/12/2026 Dubai
USD 4,500
Individual Group
07/12/2026 – 11/12/2026 Dubai
USD 4,500
Individual Group
14/12/2026 – 18/12/2026 Dubai
USD 4,500
Individual Group
21/12/2026 – 25/12/2026 Dubai
USD 4,500
Individual Group
28/12/2026 – 01/01/2027 Dubai
USD 4,500
Individual Group
04/01/2027 – 08/01/2027 Dubai
USD 4,500
Individual Group
11/01/2027 – 15/01/2027 Dubai
USD 4,500
Individual Group
18/01/2027 – 22/01/2027 Dubai
USD 4,500
Individual Group
25/01/2027 – 29/01/2027 Dubai
USD 4,500
Individual Group
01/02/2027 – 05/02/2027 Dubai
USD 4,500
Individual Group
08/02/2027 – 12/02/2027 Dubai
USD 4,500
Individual Group
15/02/2027 – 19/02/2027 Dubai
USD 4,500
Individual Group
22/02/2027 – 26/02/2027 Dubai
USD 4,500
Individual Group
01/03/2027 – 05/03/2027 Dubai
USD 4,500
Individual Group
08/03/2027 – 12/03/2027 Dubai
USD 4,500
Individual Group
15/03/2027 – 19/03/2027 Dubai
USD 4,500
Individual Group
22/03/2027 – 26/03/2027 Dubai
USD 4,500
Individual Group
29/03/2027 – 02/04/2027 Dubai
USD 4,500
Individual Group
05/04/2027 – 09/04/2027 Dubai
USD 4,500
Individual Group
12/04/2027 – 16/04/2027 Dubai
USD 4,500
Individual Group
19/04/2027 – 23/04/2027 Dubai
USD 4,500
Individual Group
26/04/2027 – 30/04/2027 Dubai
USD 4,500
Individual Group
03/05/2027 – 07/05/2027 Dubai
USD 4,500
Individual Group
10/05/2027 – 14/05/2027 Dubai
USD 4,500
Individual Group
17/05/2027 – 21/05/2027 Dubai
USD 4,500
Individual Group
24/05/2027 – 28/05/2027 Dubai
USD 4,500
Individual Group
31/05/2027 – 04/06/2027 Dubai
USD 4,500
Individual Group
07/06/2027 – 11/06/2027 Dubai
USD 4,500
Individual Group
14/06/2027 – 18/06/2027 Dubai
USD 4,500
Individual Group
21/06/2027 – 25/06/2027 Dubai
USD 4,500
Individual Group
28/06/2027 – 02/07/2027 Dubai
USD 4,500
Individual Group
05/07/2027 – 09/07/2027 Dubai
USD 4,500
Individual Group
12/07/2027 – 16/07/2027 Dubai
USD 4,500
Individual Group
19/07/2027 – 23/07/2027 Dubai
USD 4,500
Individual Group
27/07/2026 – 31/07/2026 Kigali
USD 2,300
Individual Group
03/08/2026 – 07/08/2026 Kigali
USD 2,300
Individual Group
10/08/2026 – 14/08/2026 Kigali
USD 2,300
Individual Group
17/08/2026 – 21/08/2026 Kigali
USD 2,300
Individual Group
24/08/2026 – 28/08/2026 Kigali
USD 2,300
Individual Group
31/08/2026 – 04/09/2026 Kigali
USD 2,300
Individual Group
07/09/2026 – 11/09/2026 Kigali
USD 2,300
Individual Group
14/09/2026 – 18/09/2026 Kigali
USD 2,300
Individual Group
21/09/2026 – 25/09/2026 Kigali
USD 2,300
Individual Group
28/09/2026 – 02/10/2026 Kigali
USD 2,300
Individual Group
05/10/2026 – 09/10/2026 Kigali
USD 2,300
Individual Group
12/10/2026 – 16/10/2026 Kigali
USD 2,300
Individual Group
19/10/2026 – 23/10/2026 Kigali
USD 2,300
Individual Group
26/10/2026 – 30/10/2026 Kigali
USD 2,300
Individual Group
02/11/2026 – 06/11/2026 Kigali
USD 2,300
Individual Group
09/11/2026 – 13/11/2026 Kigali
USD 2,300
Individual Group
16/11/2026 – 20/11/2026 Kigali
USD 2,300
Individual Group
23/11/2026 – 27/11/2026 Kigali
USD 2,300
Individual Group
30/11/2026 – 04/12/2026 Kigali
USD 2,300
Individual Group
07/12/2026 – 11/12/2026 Kigali
USD 2,300
Individual Group
14/12/2026 – 18/12/2026 Kigali
USD 2,300
Individual Group
21/12/2026 – 25/12/2026 Kigali
USD 2,300
Individual Group
28/12/2026 – 01/01/2027 Kigali
USD 2,300
Individual Group
04/01/2027 – 08/01/2027 Kigali
USD 2,300
Individual Group
11/01/2027 – 15/01/2027 Kigali
USD 2,300
Individual Group
18/01/2027 – 22/01/2027 Kigali
USD 2,300
Individual Group
25/01/2027 – 29/01/2027 Kigali
USD 2,300
Individual Group
01/02/2027 – 05/02/2027 Kigali
USD 2,300
Individual Group
08/02/2027 – 12/02/2027 Kigali
USD 2,300
Individual Group
15/02/2027 – 19/02/2027 Kigali
USD 2,300
Individual Group
22/02/2027 – 26/02/2027 Kigali
USD 2,300
Individual Group
01/03/2027 – 05/03/2027 Kigali
USD 2,300
Individual Group
08/03/2027 – 12/03/2027 Kigali
USD 2,300
Individual Group
15/03/2027 – 19/03/2027 Kigali
USD 2,300
Individual Group
22/03/2027 – 26/03/2027 Kigali
USD 2,300
Individual Group
29/03/2027 – 02/04/2027 Kigali
USD 2,300
Individual Group
05/04/2027 – 09/04/2027 Kigali
USD 2,300
Individual Group
12/04/2027 – 16/04/2027 Kigali
USD 2,300
Individual Group
19/04/2027 – 23/04/2027 Kigali
USD 2,300
Individual Group
26/04/2027 – 30/04/2027 Kigali
USD 2,300
Individual Group
03/05/2027 – 07/05/2027 Kigali
USD 2,300
Individual Group
10/05/2027 – 14/05/2027 Kigali
USD 2,300
Individual Group
17/05/2027 – 21/05/2027 Kigali
USD 2,300
Individual Group
24/05/2027 – 28/05/2027 Kigali
USD 2,300
Individual Group
31/05/2027 – 04/06/2027 Kigali
USD 2,300
Individual Group
07/06/2027 – 11/06/2027 Kigali
USD 2,300
Individual Group
14/06/2027 – 18/06/2027 Kigali
USD 2,300
Individual Group
21/06/2027 – 25/06/2027 Kigali
USD 2,300
Individual Group
28/06/2027 – 02/07/2027 Kigali
USD 2,300
Individual Group
05/07/2027 – 09/07/2027 Kigali
USD 2,300
Individual Group
12/07/2027 – 16/07/2027 Kigali
USD 2,300
Individual Group
19/07/2027 – 23/07/2027 Kigali
USD 2,300
Individual Group
27/07/2026 – 31/07/2026 Mombasa
USD 1,800
Individual Group
03/08/2026 – 07/08/2026 Mombasa
USD 1,800
Individual Group
10/08/2026 – 14/08/2026 Mombasa
USD 1,800
Individual Group
17/08/2026 – 21/08/2026 Mombasa
USD 1,800
Individual Group
24/08/2026 – 28/08/2026 Mombasa
USD 1,800
Individual Group
31/08/2026 – 04/09/2026 Mombasa
USD 1,800
Individual Group
07/09/2026 – 11/09/2026 Mombasa
USD 1,800
Individual Group
14/09/2026 – 18/09/2026 Mombasa
USD 1,800
Individual Group
21/09/2026 – 25/09/2026 Mombasa
USD 1,800
Individual Group
28/09/2026 – 02/10/2026 Mombasa
USD 1,800
Individual Group
05/10/2026 – 09/10/2026 Mombasa
USD 1,800
Individual Group
12/10/2026 – 16/10/2026 Mombasa
USD 1,800
Individual Group
19/10/2026 – 23/10/2026 Mombasa
USD 1,800
Individual Group
26/10/2026 – 30/10/2026 Mombasa
USD 1,800
Individual Group
02/11/2026 – 06/11/2026 Mombasa
USD 1,800
Individual Group
09/11/2026 – 13/11/2026 Mombasa
USD 1,800
Individual Group
16/11/2026 – 20/11/2026 Mombasa
USD 1,800
Individual Group
23/11/2026 – 27/11/2026 Mombasa
USD 1,800
Individual Group
30/11/2026 – 04/12/2026 Mombasa
USD 1,800
Individual Group
07/12/2026 – 11/12/2026 Mombasa
USD 1,800
Individual Group
14/12/2026 – 18/12/2026 Mombasa
USD 1,800
Individual Group
21/12/2026 – 25/12/2026 Mombasa
USD 1,800
Individual Group
28/12/2026 – 01/01/2027 Mombasa
USD 1,800
Individual Group
04/01/2027 – 08/01/2027 Mombasa
USD 1,800
Individual Group
11/01/2027 – 15/01/2027 Mombasa
USD 1,800
Individual Group
18/01/2027 – 22/01/2027 Mombasa
USD 1,800
Individual Group
25/01/2027 – 29/01/2027 Mombasa
USD 1,800
Individual Group
01/02/2027 – 05/02/2027 Mombasa
USD 1,800
Individual Group
08/02/2027 – 12/02/2027 Mombasa
USD 1,800
Individual Group
15/02/2027 – 19/02/2027 Mombasa
USD 1,800
Individual Group
22/02/2027 – 26/02/2027 Mombasa
USD 1,800
Individual Group
01/03/2027 – 05/03/2027 Mombasa
USD 1,800
Individual Group
08/03/2027 – 12/03/2027 Mombasa
USD 1,800
Individual Group
15/03/2027 – 19/03/2027 Mombasa
USD 1,800
Individual Group
22/03/2027 – 26/03/2027 Mombasa
USD 1,800
Individual Group
29/03/2027 – 02/04/2027 Mombasa
USD 1,800
Individual Group
05/04/2027 – 09/04/2027 Mombasa
USD 1,800
Individual Group
12/04/2027 – 16/04/2027 Mombasa
USD 1,800
Individual Group
19/04/2027 – 23/04/2027 Mombasa
USD 1,800
Individual Group
26/04/2027 – 30/04/2027 Mombasa
USD 1,800
Individual Group
03/05/2027 – 07/05/2027 Mombasa
USD 1,800
Individual Group
10/05/2027 – 14/05/2027 Mombasa
USD 1,800
Individual Group
17/05/2027 – 21/05/2027 Mombasa
USD 1,800
Individual Group
24/05/2027 – 28/05/2027 Mombasa
USD 1,800
Individual Group
31/05/2027 – 04/06/2027 Mombasa
USD 1,800
Individual Group
07/06/2027 – 11/06/2027 Mombasa
USD 1,800
Individual Group
14/06/2027 – 18/06/2027 Mombasa
USD 1,800
Individual Group
21/06/2027 – 25/06/2027 Mombasa
USD 1,800
Individual Group
28/06/2027 – 02/07/2027 Mombasa
USD 1,800
Individual Group
05/07/2027 – 09/07/2027 Mombasa
USD 1,800
Individual Group
12/07/2027 – 16/07/2027 Mombasa
USD 1,800
Individual Group
19/07/2027 – 23/07/2027 Mombasa
USD 1,800
Individual Group
27/07/2026 – 31/07/2026 Nairobi
USD 1,400
Individual Group
03/08/2026 – 07/08/2026 Nairobi
USD 1,400
Individual Group
10/08/2026 – 14/08/2026 Nairobi
USD 1,400
Individual Group
17/08/2026 – 21/08/2026 Nairobi
USD 1,400
Individual Group
24/08/2026 – 28/08/2026 Nairobi
USD 1,400
Individual Group
31/08/2026 – 04/09/2026 Nairobi
USD 1,400
Individual Group
07/09/2026 – 11/09/2026 Nairobi
USD 1,400
Individual Group
14/09/2026 – 18/09/2026 Nairobi
USD 1,400
Individual Group
21/09/2026 – 25/09/2026 Nairobi
USD 1,400
Individual Group
28/09/2026 – 02/10/2026 Nairobi
USD 1,400
Individual Group
05/10/2026 – 09/10/2026 Nairobi
USD 1,400
Individual Group
12/10/2026 – 16/10/2026 Nairobi
USD 1,400
Individual Group
19/10/2026 – 23/10/2026 Nairobi
USD 1,400
Individual Group
26/10/2026 – 30/10/2026 Nairobi
USD 1,400
Individual Group
02/11/2026 – 06/11/2026 Nairobi
USD 1,400
Individual Group
09/11/2026 – 13/11/2026 Nairobi
USD 1,400
Individual Group
16/11/2026 – 20/11/2026 Nairobi
USD 1,400
Individual Group
23/11/2026 – 27/11/2026 Nairobi
USD 1,400
Individual Group
30/11/2026 – 04/12/2026 Nairobi
USD 1,400
Individual Group
07/12/2026 – 11/12/2026 Nairobi
USD 1,400
Individual Group
14/12/2026 – 18/12/2026 Nairobi
USD 1,400
Individual Group
21/12/2026 – 25/12/2026 Nairobi
USD 1,400
Individual Group
28/12/2026 – 01/01/2027 Nairobi
USD 1,400
Individual Group
04/01/2027 – 08/01/2027 Nairobi
USD 1,400
Individual Group
11/01/2027 – 15/01/2027 Nairobi
USD 1,400
Individual Group
18/01/2027 – 22/01/2027 Nairobi
USD 1,400
Individual Group
25/01/2027 – 29/01/2027 Nairobi
USD 1,400
Individual Group
01/02/2027 – 05/02/2027 Nairobi
USD 1,400
Individual Group
08/02/2027 – 12/02/2027 Nairobi
USD 1,400
Individual Group
15/02/2027 – 19/02/2027 Nairobi
USD 1,400
Individual Group
22/02/2027 – 26/02/2027 Nairobi
USD 1,400
Individual Group
01/03/2027 – 05/03/2027 Nairobi
USD 1,400
Individual Group
08/03/2027 – 12/03/2027 Nairobi
USD 1,400
Individual Group
15/03/2027 – 19/03/2027 Nairobi
USD 1,400
Individual Group
22/03/2027 – 26/03/2027 Nairobi
USD 1,400
Individual Group
29/03/2027 – 02/04/2027 Nairobi
USD 1,400
Individual Group
05/04/2027 – 09/04/2027 Nairobi
USD 1,400
Individual Group
12/04/2027 – 16/04/2027 Nairobi
USD 1,400
Individual Group
19/04/2027 – 23/04/2027 Nairobi
USD 1,400
Individual Group
26/04/2027 – 30/04/2027 Nairobi
USD 1,400
Individual Group
03/05/2027 – 07/05/2027 Nairobi
USD 1,400
Individual Group
10/05/2027 – 14/05/2027 Nairobi
USD 1,400
Individual Group
17/05/2027 – 21/05/2027 Nairobi
USD 1,400
Individual Group
24/05/2027 – 28/05/2027 Nairobi
USD 1,400
Individual Group
31/05/2027 – 04/06/2027 Nairobi
USD 1,400
Individual Group
07/06/2027 – 11/06/2027 Nairobi
USD 1,400
Individual Group
14/06/2027 – 18/06/2027 Nairobi
USD 1,400
Individual Group
21/06/2027 – 25/06/2027 Nairobi
USD 1,400
Individual Group
28/06/2027 – 02/07/2027 Nairobi
USD 1,400
Individual Group
05/07/2027 – 09/07/2027 Nairobi
USD 1,400
Individual Group
12/07/2027 – 16/07/2027 Nairobi
USD 1,400
Individual Group
19/07/2027 – 23/07/2027 Nairobi
USD 1,400
Individual Group
27/07/2026 – 31/07/2026
USD 900
Individual Group
03/08/2026 – 07/08/2026
USD 900
Individual Group
10/08/2026 – 14/08/2026
USD 900
Individual Group
17/08/2026 – 21/08/2026
USD 900
Individual Group
24/08/2026 – 28/08/2026
USD 900
Individual Group
31/08/2026 – 04/09/2026
USD 900
Individual Group
07/09/2026 – 11/09/2026
USD 900
Individual Group
14/09/2026 – 18/09/2026
USD 900
Individual Group
21/09/2026 – 25/09/2026
USD 900
Individual Group
28/09/2026 – 02/10/2026
USD 900
Individual Group
05/10/2026 – 09/10/2026
USD 900
Individual Group
12/10/2026 – 16/10/2026
USD 900
Individual Group
19/10/2026 – 23/10/2026
USD 900
Individual Group
26/10/2026 – 30/10/2026
USD 900
Individual Group
02/11/2026 – 06/11/2026
USD 900
Individual Group
09/11/2026 – 13/11/2026
USD 900
Individual Group
16/11/2026 – 20/11/2026
USD 900
Individual Group
23/11/2026 – 27/11/2026
USD 900
Individual Group
30/11/2026 – 04/12/2026
USD 900
Individual Group
07/12/2026 – 11/12/2026
USD 900
Individual Group
14/12/2026 – 18/12/2026
USD 900
Individual Group
21/12/2026 – 25/12/2026
USD 900
Individual Group
28/12/2026 – 01/01/2027
USD 900
Individual Group
04/01/2027 – 08/01/2027
USD 900
Individual Group
11/01/2027 – 15/01/2027
USD 900
Individual Group
18/01/2027 – 22/01/2027
USD 900
Individual Group
25/01/2027 – 29/01/2027
USD 900
Individual Group
01/02/2027 – 05/02/2027
USD 900
Individual Group
08/02/2027 – 12/02/2027
USD 900
Individual Group
15/02/2027 – 19/02/2027
USD 900
Individual Group
22/02/2027 – 26/02/2027
USD 900
Individual Group
01/03/2027 – 05/03/2027
USD 900
Individual Group
08/03/2027 – 12/03/2027
USD 900
Individual Group
15/03/2027 – 19/03/2027
USD 900
Individual Group
22/03/2027 – 26/03/2027
USD 900
Individual Group
29/03/2027 – 02/04/2027
USD 900
Individual Group
05/04/2027 – 09/04/2027
USD 900
Individual Group
12/04/2027 – 16/04/2027
USD 900
Individual Group
19/04/2027 – 23/04/2027
USD 900
Individual Group
26/04/2027 – 30/04/2027
USD 900
Individual Group
03/05/2027 – 07/05/2027
USD 900
Individual Group
10/05/2027 – 14/05/2027
USD 900
Individual Group
17/05/2027 – 21/05/2027
USD 900
Individual Group
24/05/2027 – 28/05/2027
USD 900
Individual Group
31/05/2027 – 04/06/2027
USD 900
Individual Group
07/06/2027 – 11/06/2027
USD 900
Individual Group
14/06/2027 – 18/06/2027
USD 900
Individual Group
21/06/2027 – 25/06/2027
USD 900
Individual Group
28/06/2027 – 02/07/2027
USD 900
Individual Group
05/07/2027 – 09/07/2027
USD 900
Individual Group
12/07/2027 – 16/07/2027
USD 900
Individual Group
19/07/2027 – 23/07/2027
USD 900
Individual Group

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Course Overview

Advanced Biostatistics using R is a specialized training program designed to equip health researchers, epidemiologists, biostatisticians, public health professionals, clinical researchers, and data analysts with advanced statistical and computational skills for analyzing complex health and biomedical datasets. As healthcare systems, research institutions, pharmaceutical companies, public health agencies, and development organizations increasingly rely on evidence-based decision-making, the ability to conduct rigorous statistical analyses has become essential. R has emerged as one of the leading platforms for biostatistical analysis due to its powerful analytical capabilities, extensive package ecosystem, reproducibility, and widespread adoption in health research. This comprehensive training course provides participants with practical expertise in advanced biostatistics, statistical modeling, epidemiological analysis, survival analysis, longitudinal data analysis, and predictive modeling using R.

The training explores advanced biostatistical methods and computational techniques commonly applied in public health research, clinical trials, epidemiological investigations, healthcare analytics, disease surveillance, health policy evaluation, and biomedical research. Participants will learn how to manage complex datasets, perform advanced statistical analyses, build predictive models, evaluate intervention outcomes, and communicate findings effectively using R. The course combines theoretical foundations with practical applications through hands-on exercises and real-world health datasets.

Participants will gain practical experience in regression modeling, generalized linear models, survival analysis, multilevel modeling, longitudinal data analysis, Bayesian methods, epidemiological statistics, and health outcome evaluation. The course examines how advanced biostatistical techniques can be used to identify disease risk factors, assess treatment effectiveness, evaluate public health interventions, monitor healthcare performance, and support evidence-based healthcare planning. Through practical exercises and relevant case studies, participants will develop confidence in conducting sophisticated analyses and interpreting complex health data.

The training further addresses emerging trends in biostatistics and health analytics, including machine learning in healthcare, artificial intelligence-assisted health research, big data analytics, precision medicine, real-world evidence generation, health informatics, reproducible research practices, and advanced visualization techniques. Participants will develop the competencies required to perform high-quality statistical analyses, contribute to scientific research, and support data-driven healthcare decision-making.

Course Objectives

1.      Understand advanced biostatistical concepts and their applications in health research.

2.      Utilize R for managing, analyzing, and visualizing health and biomedical data.

3.      Apply advanced statistical modeling techniques to public health and clinical datasets.

4.      Conduct epidemiological and health outcomes analyses using R.

5.      Perform survival analysis and time-to-event modeling.

6.      Analyze longitudinal and multilevel health data effectively.

7.      Develop predictive models for healthcare and disease surveillance applications.

8.      Interpret and communicate advanced statistical findings accurately.

9.      Strengthen evidence-based decision-making in healthcare and public health.

10.  Apply emerging analytical techniques and reproducible research practices in biostatistics.

Organizational Benefits

1.      Enhanced capacity for advanced health and biomedical research.

2.      Improved evidence-based healthcare planning and decision-making.

3.      Better evaluation of clinical and public health interventions.

4.      Enhanced disease surveillance and epidemiological monitoring.

5.      Improved healthcare performance measurement and reporting.

6.      Increased efficiency in health data analysis and interpretation.

7.      Strengthened research quality and scientific rigor.

8.      Better identification of health risks and population trends.

9.      Enhanced support for policy development and healthcare innovation.

10.  Improved organizational competitiveness in health research and analytics.

Target Participants

·         Biostatisticians and statisticians

·         Epidemiologists and public health professionals

·         Clinical researchers and trial coordinators

·         Health data analysts and health informatics specialists

·         Medical researchers and healthcare practitioners

·         Monitoring and Evaluation (M&E) professionals in health programs

·         Academic researchers and university faculty

·         Pharmaceutical and biomedical research personnel

·         Government health officers and policymakers

·         NGO and development practitioners working in health

·         Graduate and postgraduate students in health-related fields

·         Data scientists interested in healthcare analytics

Course Outline

Module 1: Advanced R Programming for Biostatistics

1.      Advanced R programming concepts and best practices

2.      Data management and transformation using R

3.      Working with large health and clinical datasets

4.      Reproducible research workflows and documentation

5.      Data visualization using advanced R packages

6.      Statistical computing environments for health research

Case Study:
Developing a reproducible analytical workflow for a national public health survey dataset.

Module 2: Advanced Statistical Inference and Epidemiological Analysis

1.      Advanced hypothesis testing methodologies

2.      Epidemiological measures and disease frequency analysis

3.      Risk ratios, odds ratios, and association measures

4.      Confounding, bias, and effect modification assessment

5.      Stratified and adjusted analyses

6.      Interpretation of epidemiological findings

Case Study:
Investigating risk factors associated with the spread of a communicable disease using epidemiological methods.

Module 3: Regression Modeling and Generalized Linear Models

1.      Multiple linear regression and model diagnostics

2.      Logistic regression for binary health outcomes

3.      Poisson and negative binomial regression models

4.      Generalized linear models (GLMs) in health research

5.      Model selection and validation techniques

6.      Interpretation of regression outputs in public health studies

Case Study:
Modeling determinants of healthcare utilization and treatment outcomes using regression techniques.

Module 4: Survival Analysis and Longitudinal Data Analysis

1.      Introduction to survival and time-to-event analysis

2.      Kaplan-Meier survival estimation techniques

3.      Cox proportional hazards regression models

4.      Longitudinal and repeated measures data analysis

5.      Mixed-effects and multilevel models

6.      Applications in clinical and public health research

Case Study:
Analyzing patient survival outcomes and treatment effectiveness in a chronic disease management program.

Module 5: Advanced Predictive Analytics and Health Data Modeling

1.      Predictive modeling techniques in healthcare

2.      Machine learning applications in biostatistics

3.      Disease forecasting and risk prediction models

4.      Bayesian statistical methods and applications

5.      Model performance evaluation and validation

6.      Health outcomes prediction and decision-support systems

Case Study:
Developing predictive models to identify high-risk populations for targeted health interventions.

Module 6: Advanced Reporting, Visualization, and Emerging Trends

1.      Advanced data visualization and health reporting

2.      Scientific communication of biostatistical findings

3.      Automated reporting using R Markdown and reproducible workflows

4.      Big data and real-world evidence analytics

5.      Artificial intelligence and precision medicine applications

6.      Future trends in biostatistics and health data science

Case Study:
Designing a comprehensive biostatistical analysis framework that integrates epidemiological methods, advanced regression modeling, survival analysis, predictive analytics, machine learning, automated reporting, and data visualization to support clinical research, public health surveillance, healthcare planning, and evidence-based decision-making.

 

 

 

Essential Information

 

  1. Our courses are customizable to suit the specific needs of participants.
  2. Participants are required to have proficiency in the English language.
  3. Our training sessions feature comprehensive guidance through presentations, practical exercises, web-based tutorials, and collaborative group activities. Our facilitators boast extensive expertise, each with over a decade of experience.
  4. Upon fulfilling the training requirements, participants will receive a prestigious Global King Project Management certificate.
  5. Training sessions are conducted at various Global King Project Management Centers, including locations in Nairobi, Mombasa, Kigali, Dubai, Lagos, and others.
  6. Organizations sending more than two participants from the same entity are eligible for a generous 20% discount.
  7. The duration of our courses is adaptable, and the curriculum can be adjusted to accommodate any number of days.
  8. To ensure seamless preparation, payment is expected before the commencement of training, facilitated through the Global King Project Management account.
  9. For inquiries, reach out to us via email at training@globalkingprojectmanagement.org or by phone at +254 114 830 889.
  10. Additional amenities such as tablets and laptops are available upon request for an extra fee. The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a certificate of successful completion. Participants are responsible for arranging and covering their travel expenses, including airport transfers, visa applications, dinners, health insurance, and any other personal expenses.

 

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