HR Analytics with Python Program in Sierra Leone 2025

HR Analytics with Python Program in Sierra Leone

Enroll in the Zeblearn HR Analytics with Python Program in Sierra Leone. This comprehensive course is designed to help HR professionals and data analysts leverage Python for workforce analytics. Learn key concepts such as employee performance analysis, attrition prediction, sentiment analysis, and HR data visualization using Python libraries like Pandas, NumPy, Matplotlib, and Scikit-learn. Gain hands-on experience through real-world projects and expert-led instruction. Whether you are looking to enhance HR strategies or drive business success, this program will equip you with essential skills. Join Zeblearn in Sierra Leone and master HR analytics with Python today.

Course content

About HR Analytics with Python Program in Sierra Leone

• What is Analytics (BI, BA, Levels etc.)

• Why Analytics (Application in various domains..)

• Different Roles in Analytics

• Tools and Techniques in Analytics

• Data Science, Data Mining, Statistics, Machine Learning, Supervised and Non-Supervised Techniques

• Scales of Measurement

• CRISP Modeling Framework

• Anaconda - Download & Setup

• IDEs - Jupyter, Spyder, PyCharm

• Git - Setup and Configuration with IDEs

• Creating and Managing Analytics/ ML Projects

• Basic Data Structures & Programming Constructs

• Libraries

• Numpy

• Pandas

• Matplotlib

• Group Summaries

• Crosstab, Pivot and Reshape data

• Managing Missing Values

• Outliers Detection

• Various types of Joins, merge

• Managing indexes in pandas

• Partitioning data into train and test set

• Scaling of Data (useful for Clustering)

• Basic Statistics (mean, median, mode)

• Other Statistics (sd, var, quantile, skewness, kurtosis)

• Hypothesis Tests (t-test, Chi-square tests etc.) • Probability Distributions (normal, binomial etc.)

• Sampling Techniques

• Selection of Graph

• Libraries (matplotlib, seaborn, plotnine)

• Basic Graphs (histogram, barplot, boxplot, pie etc.)

• Managing plot parameters(size, title, axis, legend etc.)

• Advanced Graphs (correlation, heatmap, mosaic etc.)

• Exporting graphs

• Simple Linear Regression

• Multiple Linear Regression

• Libraries - sklearn, statsmodel

• Predict DV on IVs

• Metrics of Linear Regression(R2, RMSE, p-values)

• Applications of Linear Regression

• Assumptions of Linear Regression

• Difference between Linear and Logistic

• Logistic Regression

• Metrics of Logistic Regression (confusion matrix, ROC curve)

• Predict probability of DV on IV

• Applications of Logistic Regression

• Difference between classification and regression decision trees from CART models

• Understanding tree from the plot

• Classification Tree - predict class, plot, accuracy

• Regression Tree - predict numerical value, plot, RMSE

• Improving tree accuracy using Random Forests

• Bagging and Boosting

• Applications of Decision Tree

• KNN (K-nearest neigbours)

• Neural Networks

• Gradient Descent

• SVM (Support Vector Machine)

• Clustering for Grouping Data Types - Hierarchical & Non-Hierarchical

• Kmeans - output metrics (iter, error, plot)

• Hierarchical (Agglomerative & Divisive) - Dendrogram, Visual plot

• Extracting the data in clusters, Cluster Centers

• Applications of Clustering

• Applying AR to grocery store for Market Basket Analysis

• Metrics- Support, Confidence, Lift

• Frequent Itemsets and Rules; Filtering rules

• Applications of AR

• Managing Unstructured Data; Unstructured to Structured Data

• Extracting Tweets from Twitter

• Extracting words for Sentiment Analysis

• Wordcloud to Visualize the frequency of occurrence of words in text

• Applications of Text Mining

• Creating & Managing dates and times

• Creating and managing time series data

• Download stock prices data using libraries and analyzing them

• Time Series Components(Seasonal, Irregular, Trend) & Types (Additive & Multiplicative)

• Time Series Analysis - Simple Moving Average, Exponential Smoothening, ARIMA forecasting

• Plotting Time Series, Candlesticks diagram for stocks

• Applications of Time Series Analysis

Why Should You Learn HR Analytics with Python Program in Sierra Leone Training?

The annual salary of an HR Analytics with Python Program in Sierra Leone is $125k.

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TRAINING FEATURES

Instructor-led Sessions

The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet-connected devices.

Real-life Case Studies

Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.

Assignment

Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.

Lifetime Access

Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.

24 x 7 Expert Support

With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.

Certification

The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet.

Track	Week Days	Course Duration	Fast Track
Week Days	40-45 Days	2 Hrs. Per Day	Online
Course Duration	7 Weekends	3 Hrs. Per Day	Online
Fast Track	8 Days	6+ Hrs. Per Day	Online

Track

Week Days

Course Duration

Fast Track

Week Days

40-45 Days

2 Hrs. Per Day

Online

Course Duration

7 Weekends

3 Hrs. Per Day

Online

Fast Track

8 Days

6+ Hrs. Per Day

Online

Students Reviews

Read genuine student reviews on ZebLearn’s expert-led SAP training and foreign language courses. Hear success stories from learners who gained certifications, skills, and career growth!

Ravi Kumar

HR Data Analyst

The HR Analytics with Python program at ZebLearnIndia was incredibly insightful. The course effectively combined HR analytics principles with Python programming, providing me with the tools to analyze complex HR data. The hands-on projects and expert guidance helped me gain practical skills that I could immediately apply in my role.

Meera Nair

HR Business Partner

ZebLearnIndias HR Analytics with Python program was a game-changer for my career. The integration of Python with HR analytics offered a unique approach to data analysis. The course was well-structured, with practical exercises that enhanced my ability to generate actionable insights from HR data.

Vikram Singh

Talent Management Specialist

I thoroughly enjoyed the HR Analytics with Python program offered by ZebLearnIndia. The program provided a deep dive into using Python for HR data analysis, combining theoretical knowledge with practical coding skills. The course materials and instructor support were top-notch, making it a valuable learning experience.

Sonia Patel

HR Consultant

The HR Analytics with Python program at ZebLearnIndia was excellent. It equipped me with advanced analytics skills and Python programming expertise tailored to HR needs. The interactive sessions and practical assignments were very effective in helping me understand and apply analytics techniques in real-world scenarios.

Arjun Desai

Employee Insights Manager

ZebLearnIndias HR Analytics with Python program provided a perfect blend of HR analytics concepts and Python coding skills. The course was highly practical, offering hands-on experience with real data sets and analytics tools. The knowledge gained from this program has significantly enhanced my ability to drive data-informed decisions in HR.

	Date	Type	Schedule	Time
SOLD OUT	14 March 2025	Weekend	SAT - SUN (08 Week)	18:00 To 20:00
	19 March 2025	Weekday	MON - FRI (08 Week)	08:00 To 10:00
	24 March 2025	Weekend	MON - FRI (08 Week)	10:00 To 00:00

Date

Type

Schedule

Time

SOLD OUT

14 March 2025

Weekend

SAT - SUN (08 Week)

18:00 To 20:00

19 March 2025

Weekday

MON - FRI (08 Week)

08:00 To 10:00

24 March 2025

Weekend

MON - FRI (08 Week)

10:00 To 00:00

HR Analytics with Python Program in Sierra Leone

Check Your Course Fee

KEY POINTS

90+

18+

1500+

5+