The IBM Data Analyst Professional Certificate is a program designed to help learners gain job-ready skills for an entry-level data analyst role.

The program consists of nine courses, each focusing on a different aspect of data analysis.

The courses cover a variety of topics, including data manipulation using Python and Excel, applying analytical techniques, and working with a variety of data sources.

Data analysis is a crucial skill in today’s job market.

With the increasing importance of data-driven decision making in various industries, data analysts are in high demand.

The IBM Data Analyst Professional Certificate is an excellent way to gain job-ready skills for an entry-level data analyst role.

IBM Data Analyst

Offered by IBM Skills Network. Unlock your potential in data analytics. Build job-ready skills for an in-demand career as a data analyst. No … Enroll for free.

In this blog post,

we’ll explore the program and the skills you’ll learn, the job titles you can pursue, and the benefits of pursuing a career as a data analyst.

The program is designed for learners with or without college degrees and does not require any prior programming or statistical skills.

All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to learn, and a desire to enrich your profile with valuable skills.

Upon completion of the program, you’ll have the confidence and the portfolio to begin a career as an associate or junior data analyst.

Job Titles for Data Analysts

Data analysts are in high demand in various industries, including finance, healthcare, retail, and technology. As a data analyst, you can pursue several job titles, including:

• Data Analyst
• Associate Data Analyst
• Junior Data Analyst
• Finance Analyst
• Operations Analyst
• Data Technician
• Business Performance Analyst
• Marketing Analyst

With the IBM Data Analyst Professional Certificate, you’ll gain the job-ready skills to position yourself competitively in the thriving job market for data analysts.

According to the U.S. Bureau of Labor Statistics, the job market for data analysts is expected to grow by 20% until 2028.

Skills You’ll Learn

The IBM Data Analyst Professional Certificate is designed to help you develop the skills you need to become a successful data analyst. Some of the skills you’ll learn in the program include:

IBM Data Analyst

Offered by IBM Skills Network. Unlock your potential in data analytics. Build job-ready skills for an in-demand career as a data analyst. No … Enroll for free.

• Proficiency in using spreadsheets and utilizing Excel to perform a variety of data analysis tasks like data wrangling and data mining
• Creating various charts and plots in Excel & working with IBM Cognos Analytics to build dashboards
• Visualizing data using Python libraries like Matplotlib
• Developing working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoking APIs and Web Services
• Describing the data ecosystem and composing queries to access data in cloud databases using SQL and Python from Jupyter notebooks

In addition to technical skills, you’ll also learn soft skills, such as working with stakeholders and storytelling with data to engage your audience.

Throughout the program, you’ll complete hands-on projects and labs to gain practical experience with data manipulation and applying analytical techniques.

Here’s an example of how to extract and graph financial data with the Pandas data analysis Python library:

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('financial_data.csv')
df.plot(x='date', y='value')
plt.show()

here are two more examples of how to perform data analysis using Python:

Example 1: Wrangling data and creating regression models to predict housing prices

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split

# Load data
df = pd.read_csv('housing_data.csv')

# Data wrangling
df = df.dropna()
df = pd.get_dummies(df)

# Split data into training and testing sets
X = df.drop('price', axis=1)
y = df['price']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)

# Fit linear regression model to training data
reg = LinearRegression().fit(X_train, y_train)

# Predict housing prices on test data
y_pred = reg.predict(X_test)

# Plot predicted vs. actual prices
plt.scatter(y_test, y_pred)
plt.xlabel('Actual Prices')
plt.ylabel('Predicted Prices')
plt.show()

Example 2: Analyzing customer feedback using natural language processing (NLP)

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import nltk
from nltk.sentiment import SentimentIntensityAnalyzer

# Load data
df = pd.read_csv('customer_feedback.csv')

# Clean and preprocess text data
df['text_clean'] = df['text'].apply(lambda x: x.lower())
df['text_clean'] = df['text_clean'].apply(lambda x: ' '.join([word for word in x.split() if word.isalpha()]))
df['text_clean'] = df['text_clean'].apply(lambda x: ' '.join(nltk.word_tokenize(x)))
df['text_clean'] = df['text_clean'].apply(lambda x: nltk.pos_tag(nltk.word_tokenize(x)))
df['text_clean'] = df['text_clean'].apply(lambda x: ' '.join([word[0] for word in x if word[1] in ['JJ', 'JJR', 'JJS', 'NN', 'NNS', 'NNP', 'NNPS']]))

# Perform sentiment analysis on text data
sia = SentimentIntensityAnalyzer()
df['sentiment'] = df['text_clean'].apply(lambda x: sia.polarity_scores(x)['compound'])

# Plot sentiment distribution
sns.displot(data=df, x='sentiment', bins=10)
plt.show()

These examples demonstrate how Python can be used to perform various data analysis tasks, from predicting housing prices to analyzing customer feedback using natural language processing.

With the IBM Data Analyst Professional Certificate, you’ll gain the skills and experience to perform these and many other data analysis tasks with confidence.

IBM Data Analyst

Offered by IBM Skills Network. Unlock your potential in data analytics. Build job-ready skills for an in-demand career as a data analyst. No … Enroll for free.

Conclusion

The IBM Data Analyst Professional Certificate is an excellent way to gain job-ready skills for an entry-level data analyst role.

The program is designed for learners with or without college degrees and does not require any prior programming or statistical skills.

With the increasing importance of data-driven decision making in various industries, pursuing a career as a data analyst can be a smart move.

By completing the program, you’ll gain the confidence and the portfolio to begin a career as an associate or junior data analyst, and build a foundation for other data disciplines such as data science or data engineering.

Join the IBM Data Analyst Professional Certificate today to unlock your potential in data analytics and position yourself competitively in the thriving job market for data analysts.

With the program’s step-by-step approach, real-world projects, and industry-relevant skills, you’ll be on your way to a rewarding career as a data analyst.

IBM Data Analyst

Offered by IBM Skills Network. Unlock your potential in data analytics. Build job-ready skills for an in-demand career as a data analyst. No … Enroll for free.