• Next cohort Starts22nd Jun, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 months
  • Next cohort Starts22nd Jun, 2024
  • Learning FormatOnline Bootcamp

Why Join this Program

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    IBM Advantage

    Access hackathons, masterclasses, and AMA sessions. Earn IBM certificates for IBM courses.

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    Applied Learning

    Capstone and 20+ industry-relevant data analytics projects to ensure comprehensive learning

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    Data-Driven Decision Making

    Learn tools like Tableau, Excel, SQL, Python, R, PowerBI and more

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    Top-notch Data Analyst course

    Comprehensive data analytics curriculum with live online classes by industry experts

World’s #1 Online Bootcamp

Begin your journey to success

Get lifetime access to self-paced e-learning content

Corporate Training

Enterprise training for teams

Data Analyst Program Overview

This data analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

Key Features

  • Industry-recognized Data Analyst Master’s certificate from Simplilearn
  • Dedicated live sessions by faculty of industry experts
  • Masterclasses from IBM experts
  • Industry-recognized IBM certifications for IBM courses
  • Ask-Me-Anything (AMA) sessions with IBM leadership
  • Capstone from 3 domains and 20+ projects
  • Exclusive hackathons conducted by IBM
  • Lifetime access to self-paced learning content
  • Program crafted to initiate your journey as a Data Analyst

Data Analyst Program Advantage

Get certified in data analysis with this IBM program. Access masterclasses by experts, and AMAs with leadership. Earn Data Analyst and IBM certificates plus complete capstone projects. Advance your career now!

  • Master's Certificate

    Earn your Data Analyst Certificate

    • Industry-recognized certificate by Simplilearn
    • Dedicated live sessions by faculty of industry experts
    • Lifetime access to self-paced learning content
  • IBM Certificate

    Get ahead with IBM Advantage

    • Content and certificate by IBM
    • Masterclasses by IBM experts
    • Hackathons and AMA Sessions

About the Program

About the Data Analyst Master's program developed in collaboration with IBM

IBM is a leading cloud platform and cognitive solutions company. Founded in 1911, IBM is now one of the greatest technology and consulting employers worldwide, with more than 350,000 employees in 170 countries. It has collaborated with Simplilearn to give students a once-in-a-lifetime kind of exposure helping them outstand themselves in Artificial Intelligence and Data Science. Simplilearn’s Data Analyst course in Berlin is one of the most popular courses for students as it offers excellent data analysis skills.

After partnering with Watson, IBM is working on an AI platform for business, powered by data and trying to build industry-based solutions for real-world problems. IBM has defined the future of Information Technology for seven decades with over 3000 researchers in 12 labs across six continents.

What can I expect from this Simplilearn's Data Analyst program developed in collaboration with IBM?

Once you complete your Data Analyst course in Berlin, you’ll be given a course completion certificate from IBM and Simplilearn. This certificate shows that you have undergone data analyst training in this Data Analyst Certification in Berlin, helping you achieve success in your career. You will also have these things with you if you complete the course –

  1. Access to IBM cloud platforms that feature IBM Watson and other software.
  2. Industry-recognized Data Analysis Master’s certificate from Simplilearn.
  3. USD 1200 worth of IBM cloud credits that you can use for hands-on exposure.

What are the learning objectives?

The Data Analyst Course by Simplilearn, which is known to have been developed in collaboration with IBM, aims to provide people with immense expertise in booming data analytics. The Data Analyst course in Berlin for certified training aids teach ways to master inferential and descriptive statistics, data blending, hypothesis testing, regression analysis, forecasting, and data extracts. With such a course, one can also gain data visualization expertise techniques using Power BI and Tableau coupled with learning how data can be organized, and dashboards can be designed. With the help of such a course, people with a simple understanding of mathematical concepts can also complete the course and become data analytics experts.

Such a learning experience helps to blend the knowledge of Data Analytics with demos and projects through CloudLab. With the successful completion of the Data Analyst Certification in Berlin, one will possess all the required skills to become a Data Analyst successfully.

What skills will you learn in this Data Analyst course in Berlin?

The learning path in the Data Analyst course in Berlin is designed to provide expertise with the tools required to be successful in the field of Data Analysis. It also helps in providing a competitive edge, and therefore, by the end of the Data Analyst course in Berlin, one will be able to: 

  • Comprehend important statistical topics such as measures of central tendency, regression, correlation, and dispersion
  • Master SQL command, Universal Query Tool, and other such SQL concepts
  • Write one's first Python program with the implementation of concepts of conditions, functions, variables, loops, and strings 
  • Comprehend the implications of sets, conditions, dictionaries, lists, branching, classes, and objects in Python 
  • Work with data via Python, and this includes writing and reading of files, working, loading, and saving up data with the help of Pandas
  • Acquire knowledge about the interpretation of data in Python by the use of NumPy's multidimensional arrays, Pandas' DataFrames, the library of mathematical routines by SciPy, and the execution of machine learning with the help of Scikit-Learn 
  • Using popular Python libraries to perform data analytics
  • Gaining insights on various libraries for data visualization in Python such as Folium, Matplotlib, and Seaborn 
  • Gaining a deep understanding of the basics of R and learning to write one's R scripts 
  • Understand the execution of various statements in R while mastering R programming in the process 
  • Using and understanding linear and non-linear models of regression and techniques of classification for data analysis 
  • Using and learning K-means, hierarchical clustering, DBSCAN, and other such clustering methods 
  • Gaining an elementary knowledge of the business analytics that are using Excel 
  • Gaining cognizance about the latest visualization tools and Microsoft analytics 
  • Becoming proficient with Tableau statistics by grasping the concepts of Tableau Desktop 10 and, after that, building enticing dashboards
  • Becoming an expert on techniques for visualization like treemap, heat map, Gantt chart, Pareto, market basket analysis, and waterfall

What projects are included in this Data Analyst course in Berlin?

The Data Analyst course in Berlin comes with over 15 real-life, industry-based projects to ensure that learners have mastered the concepts of business intelligence and analytics such as decision trees, data visualization, data blending, and much more. Various projects are mentioned hereafter:

Project 1: Examining how big companies such as Flipkart and Amazon make the use of tools of business intelligence for performing category analysis
Project Title: Category Performance Analysis
Description: According to the Performance Evaluation Program, the subcategories that yield a consistent profit for the previous four years are awarded as the Best Performing Subcategories. One will help the manager see the top subcategories based on the profits earned and use the advanced features of the dashboard to portray a full picture of the subcategory sales.
 
Project 2: Learning how BSE, NSE, NASDAQ, and other such stock markets leverage data analytics and science for arriving at consumable data from complicated datasets
Domain: Stock Market
Description: Being part of a Data Analyst course in Berlin, one will import data using Yahoo data reader for many companies such as Yahoo, Google, Apple, Microsoft, and Amazon. One can also implement fundamental analytics, which includes plotting the closing price, plotting stock trade by volume, performing daily return analysis, and showing the correlation between various stocks using a pair plot.

Project 3: Watch how various banks like Bank of America, HDFC, Citigroup, and ICICI make use of data analysis for staying ahead of the competition
Domain: Banking
Description: To convince potential customers to invest in a bank term deposit, a Portuguese banking institution once ran marketing campaigns which were conducted via phone calls. There were times when the very same customer ended up being contacted a few times. Your job is to analyze all the data collected from such a marketing campaign.

Project 4: Learn how leaders of many famous healthcare industries use data analysis for leveraging business 
Domain: Healthcare
Description: For mediating hospital readmissions, Predictive Analytics can effectively be used. Predictors are very useful in healthcare and other industries when they can be shifted into action, but without intervention, real-time and historical data are worthless. For judging the value and efficiency of a forecasted trend and dynamic behavior, both the invention and the predictor must be integrated into a similar system and workflow at the place where the trend happened originally. 

Project 5: Understanding how Amazon, Walmart, Target, and other leading retail companies use data analysis for optimizing and analyzing their inventory and product placements
Domain: Retail
Description: Analytics is used for the optimization of product placements on shelves or inventory in warehouses using industry examples. With this project, participants can learn the cycle of product optimization from warehouses to shelves. This helps retail sectors to provide insights into regular occurrences.

Project 6: Understanding how AIG, Berkshire Hathaway, AXA, and other insurance leaders use data analysis by working on insurance-based real-life projects
Domain: Insurance
Description: According to the Insurance Predictive Modeling Survey conducted in 2013, the use of predictive analytics in the Data Analyst course in Berlin has significantly increased in big companies. Though the survey depicted an increase in predictive modelling all through the industry, respondents from many companies that are known to write personal insurance of over $1 billion employ it, as and when compared to 69% of the companies with a comparatively lesser premium.

Who should take this Data Analyst course in Berlin?

Professionals of any educational background who are aspiring and possess an analytical frame of mind are best for pursuing a Data Analyst course in Berlin; this includes:

  • IT professionals
  • Marketing managers
  • Supply chain network managers
  • Students in PG or UG programs
  • Sales professionals
  • Beginners in the data analytics domain
  • Banking and finance professionals

What are the prerequisites for this Data Analyst course in Berlin?

Students looking to succeed in this Data Analyst course in Berlin and certification training should have basic mathematics skills.

What are the job opportunities upon completing this Data Analyst course in Berlin?

By taking this Data Analyst course in Berlin, the learner will come away with the necessary data analysis skills land their dream job as a Data Analyst. Various job titles are:

  • Analytics Manager or lead
  • Data Analyst
  • Business Intelligence Analyst
  • Business Intelligence Engineer 
  • Business Analyst/Senior Business Analyst
  • Various managerial roles

Why become a Data Analyst?

As predicted by the World Economic Forum, 2022 will witness Data Analysts as one of the top emerging jobs in society. Data analysis is viewed by organizations today as one of the most important specialties for the future due to the value the data is capable of delivering. Considering a Data Analyst course in Berlin, data in the business environment in this day and age is much more accessible and abundant than ever. Each day, about 2.5 quintillion bytes of data are created. Data analyzers' value will continue to grow while creating new jobs and advancement opportunities for a career with an increasing skill gap in data analytics.

Professionals who enter the field of Data Analytics are known to reap the benefits of picking up a job and enjoying fruitful salaries. According to an IBM report, jobs you can get by taking a Data Analyst course in Berlin are set to increase by 15% to 2.72 million in 2021, with the most demand for Financial, IT, and Insurance Analysts. According to Glassdoor, in 2019, Data Analysts earn about $67,366 as an average pay.

Data Analyst Certification Learning Path

Accelerate your career trajectory with our extensive data analyst course curriculum. Delve into foundational statistics, master data analysis with Python and R, navigate databases using SQL, and harness the power of visualization with Tableau and Power BI.

Learning Path

Electives:
    • Aligned with PL-300: Microsoft Power BI Data Analyst certification
    • Learn Power BI Desktop layouts, BI reports, dashboards, and more
    • Learn to experiment, refine, prepare, and present data with ease
    • Explore comprehensive Power BI training for hands-on applied learning
    • Learn through a practical approach to help you gain expertise

  • Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.

8+ Skills Covered

  • Data Analytics
  • Statistical Analysis using Excel
  • Data Analysis using Python and R
  • Data Visualization Tableau and Power BI
  • Linear and logistic regression modules
  • Clustering using KMeans
  • Supervised Learning
  • Unsupervised Learning

9+ Tools Covered

Microsoft ExcelNumPypandasSciPypower bipythonRtableauMySQLFSD

Industry Projects

  • Project 1

    APP RATING RECOMMENDATIONS

    The Google Play Store team launches visibility booster for promising apps - displayed higher in recommendations. Build model to predict app ratings with provided app data.

  • Project 2

    COMCAST TELECOM CUSTOMER COMPLAINTS

    Comcast promises better customer service but continues falling short, despite repeated vows to improve. Leverage database of customer complaints to finally boost satisfaction.

  • Project 3

    ECOMMERCE SALES DASHBOARD

    E-commerce company seeks sales dashboard to analyze product categories, ease selection, and boost purchases. Help users review info on products they're considering.

  • Project 4

    COMPARATIVE STUDY OF COUNTRIES

    Create a dashboard to compare different countries on various parameters using the sample insurance data set and world development indicators data set.

  • Project 5

    SALES PERFORMANCE ANALYSIS

    Build dashboard showing monthly sales by segment and category, flagging those meeting/exceeding/missing targets - enabling clients to easily identify areas needing attention.

  • Project 6

    ANALYSIS OF SALES REPORT OF A CLOTHES MANUFACTURING OUTLET

    Fashion retailer seeks to expand product line. Aims to grasp market trends, automate product attributes, predict sales, understand sales drivers, and standardize ratings with data.

  • Project 7

    COLLEGE ADMISSION

    Each year, US colleges receive thousands of applications from international students. To streamline the process, the education department must analyze factors affecting admission.

  • Project 8

    IDENTIFYING AND RECOMMENDING THE BEST RESTAURANTS

    Upgrading B2C portal with smart automation. Forming matrices for top-notch eateries and suggestions. Analysis-based reports and visual dashboards for sharing insights.

  • Project 9

    PREDICTING LOAN DEFAULTERS

    High vehicle loan defaults cause losses, leading to stricter underwriting. Need a better risk model. Study to identify default factors and predict defaults.

  • Project 10

    EXAMINING FACTORS RESPONSIBLE FOR HEART ATTACKS

    Global heart disease deaths are high. We need a system to predict heart attacks. Study data on cardiovascular health, identify key factors and create a predictive model.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Join the Data Analytics industry

Data Science and Analytics jobs are projected to see growth by 31% in the upcoming decade. The data analytics market is estimated to reach $24.63 Bn in 2021 and is projected to grow at a compound annual growth rate of 25 per cent from 2021 to 2030.

Job Icon11.5 M

Expected New Jobs for Data Science and Analytics

Source: Analytics Insight
Job Icon31%

Annual Job Growth by 2030

Source: 365 Data Science
Job Icon$ 62K-121K

Average Annual Salary

Source: Glassdoor

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 32%BFSI - 19%Software product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Companies
     course learners from Amazon, Berlin
     course learners from Ernst & Young, Berlin
     course learners from Fidelity Investments, Berlin
     course learners from Johnson and Johnson, Berlin
     course learners from Vodafone, Berlin
     course learners from Broadcom, Berlin
     course learners from Accenture, Berlin
     course learners from Nomura Holdings, Berlin
     course learners from Ericsson, Berlin
     course learners from Infosys, Berlin
     course learners from Nvidia, Berlin
     course learners from Tata Consultancy Services, Berlin

Learner Reviews

Financing

The admission fee for this program is € 1.299

Pay in Installments

You can pay monthly installments for Programs using Splitit payment option with 0% interest and no hidden fee.

Splitit

Financing Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

€ 1.299

Data Analyst Course FAQs

  • How do I become a Data Analyst in Berlin, Germany?

    This Data Analyst certification courses in Berlin, Germany developed in collaboration with IBM will give you sufficient insights into data analytics tools and methodologies to excel in your next role as a Data Analyst. You will earn an industry-recognized certification from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The Data Analyst course will train you on statistics essentials, SQL basics, data science, and data visualization using R and Python, Business Analytics with Excel, Power BI, and data visualization with Tableau Desktop 10.

  • What can I expect from this Simplilearn Data Analyst courses developed in collaboration with IBM?

    Upon completion of these Data Analyst courses in Berlin, Germany, you will receive the certificates from IBM and Simplilearn for courses in the learning path. These certificates will testify to your skills as an expert in Data Analysis. You will also receive the following:

    • Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM* and Simplilearn upon successful completion of the program
    • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • What is the salary of a Data Analyst in Berlin?

    The average annual salary of a data analyst in Berlin is $61,682 per annum. The candidates who have completed Data Analyst Certification in Berlin will be able to negotiate their salaries. Not only this but also the candidates will be able to improve their skills, expertise and knowledge.

  • What are the major companies hiring for a Data Analyst in Berlin?

    Berlin is one of the biggest commercial hubs in Berlin which keep on looking out for candidates. If you are one who has completed Data Analyst Course in Berlin, you will not only gain strong skills but will also get an opportunity to work for key market players like Viessman Group, Mc Mackler GmbH, Scope Group and others

  • What are the major industries in Berlin?

    Berlin has a strong presence in various industries like life sciences, biotechnology, Information and Technology, medical engineering, construction and supply chain. Those who have completed Data Analyst Course in Berlin can get their dream jobs with lucrative salaries.

  • How to become a Data Analyst In Berlin?

    To become a data analyst in Berlin, it is important to pursue Data Analyst Course in Berlin which will let you learn analytical tools and techniques, different languages like Python and R and how to work with SQL.

  • How to find a Data Analyst Masters Certification Training in Berlin?

    There are various data analyst certification in Berlin available online but you need to choose one such course which covers each and every aspect of data analytics. The course will help you learn the important statistical concepts which include measures of central tendency and regression.

  • What are the eligibility criteria for the Data Analyst course in Berlin?

    The Data Analyst course in Berlin is best suited for aspiring professionals of any educational background with a framework, including:

    • IT experts
    • Professionals of banking and finance
    • Marketing managers
    • Sales representatives
    • Supply chain network managers
    • Freshers in the field of data analytics
    • Students in UG/PG courses

  • What is the job market for data analysts?

    Data analysis is a rapidly growing field, and the demand for data analysts is increasing in many industries. Here are a few placement trends for data analysts:

    • Increasing demand: The amount of data being generated is increasing at a rapid rate, and organizations are looking for ways to extract insights from that data. As a result, the demand for data analysts is increasing in finance, healthcare, retail, and manufacturing industries, to name a few.
    • The growing use of data analytics in different sectors: Data analysis is becoming increasingly important in various sectors, such as healthcare, finance, manufacturing, retail, and technology. The increasing use of data analytics in various sectors is creating new opportunities for data analysts.
    • Remote work: With the COVID-19 pandemic, remote work has become more prevalent and many companies are now looking for data analysts who can work remotely.
    • Use of machine learning and artificial intelligence: Data analysts are increasingly expected to use machine learning and AI to extract insights from data. This is creating new opportunities for data analysts with experience in these technologies.
    • Interdisciplinary skills: Data analysts are increasingly expected to have interdisciplinary skills, such as data visualization and business acumen.

Data Analyst Course in Berlin, Germany

Berlin is the capital as well as the largest city of Germany both in terms of population as well as area. The city has a total population of 3.8 million which makes it the most populous city in the European Union. Berlin is a world city of politics, culture, media and science. The economy of the city is based on high tech firms and the service sector contains a diverse range of creative industries. The city has an overall GDP of €147 billion which has increased 3.1% over the previous year. When it comes to climate, Berlin is blessed with oceanic climate. Due to its transitional climate zones, frosts are common in winter.

Berlin is the major centre of culture, politics, media and science. Berlin is home to the world famous Berlin Opera and Berlin Philharmonic Orchestra while its diverse art scene contains hundreds of galleries, museums and events. Following are the famous places to visit in Berlin:

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