DataCamp tracks road map for computer science students.
Python Tracks road map for computer science students, which including the following main topics:
SKILLS YOU WILL GAIN:
object-oriented programming, databases, mongodb, data science toolbox, python for r users, python for matlab users, command line automation, aws boto, unit testing for data science, analyzing marketing campaigns, analyzing police activity, analyzing social media data, arima models, customer segmentation, market basket analysis, marketing analytics predicting customer churn, working geospatial data, supply chain analytics, analyzing us census data, data science, feature engineering, machine learning, python for spreadsheet users, exploratory data analysis, winning kaggle competition, probability, statistics, linear modeling, network analysis, generalized linear models, practicing statistics interview questions, experimental design, customer analytics a/b testing, time series analysis, importing data, cleaning data, web scraping, data manipulation, dealing missing data, joining data, manipulating time series data, working dates times, pandas foundations, manipulating dataframes, merging dataframes, pandas joins for spreadsheet users, data visualization, matplotlib, seaborn, bokeh, geospatial data, time series data, ai fundamentals, software engineering for data scientists, preprocessing for machine learning, linear classifiers, unsupervised learning, supervised learning scikit-learn, machine learning tree-based models, predictive analytics, dimensionality reduction, designing machine learning workflows, machine learning for time series data, machine learning for marketing, human resources analytics predicting employee churn, machine learning for finance, extreme gradient boosting xgboost, parallel programming dask, fraud detection, cluster analysis, model validation, hyperparameter tuning, ensemble methods, natural language processing, regular expressions, sentiment analysis, feature engineering for nlp, machine translation, spoken language processing, building chatbots, advanced nlp spacy, deep learning, keras, pytorch, tensorflow, recurrent neural networks for language modeling, predicting ctr machine learning, image processing, biomedical image analysis, credit risk modeling, python for finance financial concepts, portfolio analysis, portfolio risk management, importing managing financial data, garch models, quantitative risk management, financial forecasting, pyspark, data engineering, spark sql, big data fundamentals pyspark, feature engineering pyspark, cleaning data pyspark, machine learning pyspark, building recommendation engines pyspark, airflow, streaming data aws kinesis lambda, building data engineering pipelines
SKILLS YOU WILL GAIN:
reporting r markdown, visualizing geospatial data, joining data table, marketing analytics, r for sas users, garch models, survey and measurement development, single-cell rna-seq bioconductor, text analysis, data manipulation dplyr, linear algebra for data science, classification, tidyverse, regression, object-oriented, tree-based models, communicating data tidyverse, analyzing social media data, hyperparameter tuning, inference for categorical data, topic modeling, handling missing data imputations, data manipulation, sentiment analysis, statistics, spatial analysis sf and raster, text mining bag-of-words, probability, regular expressions, hierarchical and mixed effects models, equity valuation, categorical data tidyverse, r for finance, machine learning, parallel programming, building dashboards flexdashboard, bond valuation and analysis, cluster analysis, writing functions, inference for numerical data, visualizing big data trelliscope, fraud detection, arima models, factor analysis, choice modeling for marketing, scalable data processing, correlation and regression, inference for linear regression, bayesian data analysis, cleaning data, advanced dimensionality reduction, ggplot2, lattice, time series analysis, portfolio analysis, logistic regression, probability puzzles, rbokeh, statistical modeling, business process analytics, life insurance products valuation, bayesian regression modeling rstanarm, mixture models, dealing missing data, data privacy and anonymization, modeling data tidyverse, inference, a/b testing, market basket analysis, spark sparklyr, tidyverse, visualizing time series data, quantitative risk management, feature engineering, exploratory data analysis, building dashboards shinydashboard, human resources analytics: exploring employee data, importing and managing financial data, experimental design, forecasting product demand, financial trading, big data r, credit risk modeling, support vector machines, analyzing us census data, forecasting, predictive analytics using networked data, joining data dplyr, network analysis, human resources analytics: predicting employee churn, generalized linear models, data visualization, nonlinear modeling gams, working data tidyverse, importing data, working web data, differential expression analysis limma, plotly, optimizing r code rcpp, dimensionality reduction, natural language processing, functional programming purrr, anomaly detection, network analysis tidyverse, chip-seq bioconductor, building web applications shiny, analyzing election and polling data, rna-seq bioconductor, designing and analyzing clinical trials, developing r packages, working dates and times, survival analysis, bayesian modeling rjags, tensorflow, interactive maps leaflet, multivariate probability distributions
SKILLS YOU WILL GAIN:
analyzing business data sql, sql, intermediate sql, exploratory data analysis sql, relational databases sql, joining data sql, reporting sql, applying sql real-world problems, database design, data-driven decision making sql, sql server, intermediate sql server, functions for manipulating data sql server, cleaning data sql server databases, hierarchical recursive queries sql server, time series analysis sql server, improving query performance sql server, writing functions stored procedures sql server, transactions error handling sql server, building optimizing triggers sql server, creating postgresql databases, functions for manipulating data postgresql, postgresql summary stats window functions, cleaning data postgresql databases, improving query performance postgresql, transactions error handling postgresql, oracle sql
SKILLS YOU WILL GAIN:
course name, data science for business, data science for everyone, machine learning for business, machine learning for everyone, data visualization for everyone, data engineering for everyone, cloud computing for everyone
SKILLS YOU WILL GAIN:
data analysis excel, data analysis spreadsheets, spreadsheets, intermediate spreadsheets, statistics spreadsheets, error uncertainty spreadsheets, conditional formatting spreadsheets, pivot tables spreadsheets, data visualization spreadsheets, loan amortization spreadsheets, marketing analytics spreadsheets, financial analytics spreadsheets, financial modeling spreadsheets, options trading spreadsheets
SKILLS YOU WILL GAIN:
tableau, analyzing data tableau, power bi
SKILLS YOU WILL GAIN:
git, bash scripting, shell ,conda essentials, building distributing packages conda, data processing shell