100daysofdatascience

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100daysofdatascience

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100daysofdatascience 최신버젼 다운로드

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# 100daysofdatascience

Day-1 : What-if Analysis in EXCEL and designed a strategy for sales growth
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-datascience-datavisualization-activity-6740643158499176448-Wm-3

Day-2 : Created the dashboard for Sales growth with my strategy clearly explaining the areas.
https://www.linkedin.com/posts/vikram-k-4507b3104_datastorytelling-alphaaai-1billion-activity-6740524112793493504--mbX

Day-3: Started " Data Analysis using python" on Coursera.  (Basics of Data Analysis and Statistics)
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-datascience-machinelearning-activity-6741753020310278144-GqSa

Day-4: Z- score and Outliers and how to detect them.
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-datascience-machinelearning-activity-6742451159245692928-se0G

Day-5: EDA in theory and also performed EDA on a sample dataset.
https://www.linkedin.com/posts/vikram-k-4507b3104_exploratory-data-analysisdocx-activity-6742848861859139584-uW40

Day-6: Montecarlo Simulation for prediction in MS EXCEL. 
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-datascience-learningeveryday-activity-6743206779095797761-8yRW

Day-7: Started week-4 in Coursera " Data Analysis using python"
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-datascience-learningeveryday-activity-6743578095007227904-mABF

Day-8:  Linear regression in basics and also a hands-on on sample dataset.
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-datascience-machinelearning-activity-6744296463716749312--fw1

Day-9: Created the dashboard in MS EXcel using Monte Carlo Simulation
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-datascience-machinelearning-activity-6744649597232267264-aFf7

Day-10,11 : Completed week-4 in Data Analysis using Python
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-100daysoflearning-100daysofmlcode-activity-6745380532667973632-XlMd

Day-12: Started week-5 in "Data Analysis using Python: i.e. Model Evaluation
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-datascience-machinelearning-activity-6745766726048321536-Gk6f

Day-13: Attended session on Communication skills
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-datascience-mentoringmatters-activity-6746124247632093184-jMc_

Day-14,15: In progress of week-5 in Coursera.
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-datascience-machinelearning-activity-6747165171036381184-TAFo

Day-16,17: Completed week-5 in Coursera "Data Analysis using Python"
https://www.linkedin.com/posts/vikram-k-4507b3104_100daysofdatascience-100daysoflearning-100daysofmlcode-activity-6747860472147664896-ArmX

Day-18,19: Completed the course "Data Analysis using Python"
https://www.linkedin.com/posts/vikram-k-4507b3104_completion-certificate-for-data-analysis-activity-6748525367738413056-Q8Ug

Day-20: Basic Data Visualization in Matplotlib
https://www.linkedin.com/posts/vikram--krishna_100daysofdatascience-100daysoflearning-100daysofmlcode-activity-6749360353488064512-wATp

Day-21: Specialized Data Visualization tools in "Data Visualization in Python" on Coursera
https://www.linkedin.com/posts/vikram--krishna_100daysofdatascience-100daysoflearning-100daysofmlcode-activity-6749685689211854848-1wXA

Day-22: Advanced Data Visualization tools in "Data Visualization in Python" on Coursera
https://www.linkedin.com/posts/vikram--krishna_100daysofdatascience-100daysoflearning-100daysofmlcode-activity-6751129751626358784-vvn0

Day-23: Completed course "Data Visualization using Python" 
https://www.linkedin.com/posts/vikram--krishna_completion-certificate-for-data-visualization-activity-6751890469468413952-nntK

Day-24: SQL refresher part-1: Types of commands and Handling null values
https://www.linkedin.com/posts/vikram--krishna_sql-day-1-activity-6755108408447393792-85d8

Day-25: Subqueries temporary tables Self joins in SQL
https://www.linkedin.com/posts/vikram--krishna_sql-day-2-activity-6755469433290006528-LjRl

Day-26: Window functions in SQL
https://www.linkedin.com/posts/vikram--krishna_sql-day-3-activity-6755836974487220224-oXk6

Day-27: UDF in SQL
https://www.linkedin.com/posts/vikram--krishna_sql-day-4-activity-6756917759420055552-WG9m

Day-28: Indexing in SQL
https://www.linkedin.com/posts/vikram--krishna_sql-day-5-activity-6758005519778217984-tFCA

Day-29: Advanced Excel charts(Marker charts)
https://www.linkedin.com/posts/vikram--krishna_100daysofdatascience-dswithvikram-datavisualization-activity-6759588174755954688-0JDI

Day-30: Gantt Chart in Excel
https://www.linkedin.com/posts/vikram--krishna_100daysofdatascience-dswithvikram-datavisualization-activity-6759948441352232960-WWJ_

Day-31: Practiced StrataScratch SQL questions of Facebook
https://www.linkedin.com/posts/vikram--krishna_100daysofdatascience-dswithvikram-technology-activity-6768211510310391808-7brP

Day-32: First part of "Making friends with Machine Learning"
https://www.linkedin.com/posts/vikram--krishna_100daysofdatascience-dswithvikram-technology-activity-6768561840420220928-Agox

Day 33-35: Started preparation for my Azure #AZ900 certification. Tried to complete 2 modules out of 4 for the exam. Thanks to Susanth Sutheesh for his amazing playlist on Cloud training. Practiced few SQL problems from Stratascratch and they have a very good amount of questions with difficulty ranging from easy-to-hard. 
https://www.linkedin.com/posts/vikram--krishna_100daysofdatascience-az900-dswithvikram-activity-6769640181936082944-Ul_N

100daysofdatascience

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