I will a comprehensive guide to analytics

Israel

I speak English
Professional Graphics designers having +5 years experience in the graphics design industry and specialty in logo designs. We Provide brand identity and top notch logo for your business. Every client i...
About this Gig
  1. Data Collection: Gathering relevant data from various sources, which can include databases, spreadsheets, websites, sensors, social media, and more.
  2. Data Cleaning and Preprocessing: This involves cleaning up raw data to remove errors, duplicates, and inconsistencies, as well as preparing the data for analysis by transforming it into a usable format.
  3. Exploratory Data Analysis (EDA): Exploring the data to understand its characteristics, such as distributions, relationships between variables, and outliers. This often involves visualizations like histograms, scatter plots, and box plots.
  4. Descriptive Analytics: Summarizing and interpreting historical data to describe what has happened in the past. This can include metrics like averages, counts, percentages, and other summary statistics.
  5. Predictive Analytics: Using statistical models and machine learning algorithms to make predictions about future events or trends based on historical data. This can involve techniques like regression analysis, time series forecasting, and classification.
  6. Prescriptive Analytics: Recommending actions or decisions based on insights derived from data analysis.

Technology:

Excel

Google Analytics

Google Data Studio

Analysis type:

Qualitative analysis

Impact analysis

Expertise:

Web analytics

Cluster analysis

Factor analysis

Programming language:

Python

SPSS

SQL

NoSQL