For this question, you will be provided with data related to the count of website sessions by day for the past one hundred days. You are now asked to create a forecast for the next sixty days using this data. The data for this problem is included in as a .csv file in the attached packet.

date	sessions
1/1/2017	88215
1/2/2017	88484
1/3/2017	87877
1/4/2017	86780
1/5/2017	84622
1/6/2017	84607
1/7/2017	84362
1/8/2017	84912
1/9/2017	84367
1/10/2017	85991
1/11/2017	86562
1/12/2017	86761
1/13/2017	85735
1/14/2017	85386
1/15/2017	84023
1/16/2017	83504
1/17/2017	83795
1/18/2017	85127
1/19/2017	84971
1/20/2017	86433
1/21/2017	88094
1/22/2017	89120
1/23/2017	89184
1/24/2017	90188
1/25/2017	88540
1/26/2017	88693
1/27/2017	88031
1/28/2017	86601
1/29/2017	87447
1/30/2017	87716
1/31/2017	87042
2/1/2017	87039
2/2/2017	86197
2/3/2017	84339
2/4/2017	85095
2/5/2017	84764
2/6/2017	83386
2/7/2017	82621
2/8/2017	83256
2/9/2017	82997
2/10/2017	84614
2/11/2017	84480
2/12/2017	86006
2/13/2017	86436
2/14/2017	85711
2/15/2017	84115
2/16/2017	83612
2/17/2017	84812
2/18/2017	85036
2/19/2017	84844
2/20/2017	83745
2/21/2017	85598
2/22/2017	84914
2/23/2017	85813
2/24/2017	86634
2/25/2017	86995
2/26/2017	88356
2/27/2017	87731
2/28/2017	89142
3/1/2017	90383
3/2/2017	90686
3/3/2017	93692
3/4/2017	93800
3/5/2017	93502
3/6/2017	93786
3/7/2017	92292
3/8/2017	91104
3/9/2017	90193
3/10/2017	90341
3/11/2017	89314
3/12/2017	88861
3/13/2017	88853
3/14/2017	89992
3/15/2017	90246
3/16/2017	90968
3/17/2017	89741
3/18/2017	88718
3/19/2017	88335
3/20/2017	87898
3/21/2017	87666
3/22/2017	88600
3/23/2017	90110
3/24/2017	90401
3/25/2017	90370
3/26/2017	90346
3/27/2017	89691
3/28/2017	90643
3/29/2017	90489
3/30/2017	91289
3/31/2017	89290
4/1/2017	88668
4/2/2017	89804
4/3/2017	88989
4/4/2017	89976
4/5/2017	88239
4/6/2017	87444
4/7/2017	86951
4/8/2017	85434
4/9/2017	85655
4/10/2017	85105